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Journal articles on the topic 'Rainfall yield'

Author: Grafiati

Published: 25 May 2024

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1

Ologeh, I., and F. Adesina. "Evaluation of climate change as a major determinant of crop yield improvement in Nigeria." IOP Conference Series: Earth and Environmental Science 1077, no. 1 (2022): 012002. http://dx.doi.org/10.1088/1755-1315/1077/1/012002.

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Abstract Climate change has adversely affected agricultural productivity leading to decline in food production. The influence of climate change on crops and livestock persists despite irrigation, improved plant and animal hybrids. The continued dependence of agricultural production on climatic factors and the relative dependence of human existence on agricultural products create the need for a comprehensive consideration of the relationship between climate and crop production. This study measured the relationship between annual maize/yam yield as dependent variable and seasonal rainfall as ind

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Stephens, D. J., and T. J. Lyons. "Rainfall-yield relationships across the Australian wheatbelt." Australian Journal of Agricultural Research 49, no. 2 (1998): 211. http://dx.doi.org/10.1071/a96139.

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A network of rainfall stations was selected across the Australian wheatbelt and monthly rainfall regressed with wheat yields from the surrounding shires for the period 1976-87. Yields were found to be strongly related to fluctuations in total rainfall amount and the seasonal distribution of rainfall through the year. These temporal relationships vary spatially and appear to be regulated by the water-holding capacity of regional soils. Sixteen agrometeorological zones were defined with similar rainfall-yield relationships. In all these, autumn rains that permit an early sowing, and finishing ra

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CHOWDHURY, A., and H. P. DAS. "Effect of rainfall on growth and yield of rice in Konkan coast." MAUSAM 44, no. 2 (2022): 143–46. http://dx.doi.org/10.54302/mausam.v44i2.3811.

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In this Study, relationship between rainfall and rice yield has been investigated in Ratnagiri and Thane districts of Maharashtra using 37 year's (1951.1987) data. Weekly water balance has been worked out in developing a yield index and its association with yield examined. Planting rates have been calculated assuming two categories of empirical rainfall accumulations of 450 and 500 mm. The yields were correlated with rainfall during selected growth phases, total rainfall, the yield index and the technological trend. Effects of late or early onset on yield has also been examined.  I

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Van Oosterom, E. J., S. Ceccarelli, and J. M. Peacock. "Yield response of barley to rainfall and temperature in Mediterranean environments." Journal of Agricultural Science 121, no. 3 (1993): 307–13. http://dx.doi.org/10.1017/s0021859600085488.

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SUMMARYGrain yield of barley (Hordeum vulgare L.) in northern Syria is limited by water stress and extremes of temperature. The present study compared the grain yield of two barley cultivars, Harmal (spring type, cold-sensitive, early heading) and Arabi Aswad (winter type, cold-tolerant, medium early heading), under varying rainfall and temperature. Grain yield was obtained from three sites in northern Syria for seven seasons (1984/85 to 1990/91), resulting in 18 site × season combinations, here called environments. Multiple regression models, containing one rainfall and one temperature variab

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MacColl, D. "Studies on Maize (Zea mays) at Bunda, Malawi. I. Yield in Relation to Rainfall." Experimental Agriculture 25, no. 3 (1989): 357–66. http://dx.doi.org/10.1017/s0014479700014873.

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SUMMARYYields of maize were determined in six years, on two soils, at up to four nitrogen levels following early and late planting. Without fertilizer nitrogen, high rainfall at the beginning of the growing season reduced yield on one soil but not on the other, while high rainfall at late silking and high total rainfall in the growing season reduced yields on both soils. As the level of fertilizer nitrogen increased, the negative effects of rainfall on yield tended to disappear. A three week delay in planting sometimes increased and sometimes decreased yield. The probable reasons for the obser

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Hannah, MC, and GJ O'Leary. "Wheat yield response to rainfall in a long-term multi-rotation experiment in the Victorian Wimmera." Australian Journal of Experimental Agriculture 35, no. 7 (1995): 951. http://dx.doi.org/10.1071/ea9950951.

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Seventy-six years of wheat yield data from a long-term rotation experiment at Dooen in the Victorian Wimmera were analysed to describe the response of wheat yield to seasonal rainfall, crop sequence, and time. Wheat yields from 7 different 1- to 4-course rotations involving wheat, barley, oat, field pea, grass pasture and fallow were compared as a function of growing-season (May-November) rainfall. The field layout had no within-year replication, but each phase of each rotation was represented once in each year. An approximate quadratic response of wheat yield to both current year and previous

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Vittal, K. P. R., K. Vijayalakshmi, and U. M. B. Rao. "The Effect of Cumulative Erosion and Rainfall on Sorghum, Pearl Millet and Castor Bean Yields Under Dry Farming Conditions in Andhra Pradesh, India." Experimental Agriculture 26, no. 4 (1990): 429–39. http://dx.doi.org/10.1017/s0014479700001356.

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SUMMARYTopsoil depth and yields of sorghum, pearl millet and castor bean were found to be positively correlated when monitored over thirteen seasons under widely varying rainfall conditions on an Alfisol in Andhra Pradesh, India. Yields responded up to 2.5 times more to topsoil depth when rainfall in the critical period exceeded evapotranspiration than under drier conditions. Yield variations were explained by topsoil depth in cereals, and by the interaction between rainfall during the critical period and topsoil depth in cereals and castor bean (R2<0.72). The expected yield losses as a res

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Vittal, K. P. R., K. Vijayalakshmi, and U. M. B. Rao. "The Effect of Cumulative Erosion and Rainfall on Sorghum, Pearl Millet and Castor Bean Yields Under Dry Farming Conditions in Andhra Pradesh, India." Experimental Agriculture 26, no. 4 (1990): 429–39. http://dx.doi.org/10.1017/s001447970000363x.

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SUMMARYTopsoil depth and yields of sorghum, pearl millet and castor bean were found to be positively correlated when monitored over thirteen seasons under widely varying rainfall conditions on an Alfisol in Andhra Pradesh, India. Yields responded up to 2.5 times more to topsoil depth when rainfall in the critical period exceeded evapotranspiration than under drier conditions. Yield variations were explained by topsoil depth in cereals, and by the interaction between rainfall during the critical period and topsoil depth in cereals and castor bean (R2<0.72). The expected yield losses as a res

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A, SIVA SANKAR, RANGA REDDY M, NAGARAJA RAO M, MADHAVA SWAMY G, and BRAMHANANDA REDDY P. "INFLUENCE OF RAINFALL AND ITS DISTRIBUTION ON CROP YIELDS OF RAINFED COTTON AND SORGHUM." Madras Agricultural Journal 75, May June (1988): 173–75. http://dx.doi.org/10.29321/maj.10.a02106.

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A Study was carried out to determine the influence of rainfall during the crop: season on the yields of rainfed cotton and sorghum, Rainfall during the crop growth had a significant negative association with Kapas yield (r-0.56%, in an early ameri can cotton var. NA 247 (Gossypium hirsutum L.) while it had little influence on late variety Laxmi. Among different months, rainfall and number of rainy days in September month alone had a strong negative effect on kapas yields in American cotton var. NA 247. There was no clear response to rainfall for kapas yield in rainfed desi cotton (Gossypium ar

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Westcott, Nancy E., Steven E. Hollinger, and Kenneth E. Kunkel. "Use of Real-Time Multisensor Data to Assess the Relationship of Normalized Corn Yield with Monthly Rainfall and Heat Stress across the Central United States." Journal of Applied Meteorology 44, no. 11 (2005): 1667–76. http://dx.doi.org/10.1175/jam2303.1.

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Abstract This study evaluated the suitability of rain estimates based on the National Weather Service (NWS) Weather Surveillance Radar-1988 Doppler (WSR-88D) network to estimate yield response to rainfall on a county scale and to provide real-time information related to crop stress resulting from deficient or excessive precipitation throughout the summer. The relationship between normalized corn yield and rainfall was examined for nine states in the central United States for 1997–99 and 2001–02. Monthly rainfall estimates were computed employing multisensor precipitation estimate (MPE) data fr

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Jlibene, Mohammed. "Partition of rainfall variation effect on crop productivity into amount and distribution effects." E3S Web of Conferences 183 (2020): 03005. http://dx.doi.org/10.1051/e3sconf/202018303005.

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Rainfall is the most influential factor of rainfed agricultural production in semi-arid Mediterranean and Sub-Saharan environments. While effects of rainfall amount and distribution are confounded, their partition will help developing strategies to manage green water in these environments. A series of 39 years of country average cereal yield and rainfall data was used (1981-2019). Cumulated rainfall over months of November, Rainfall of the month of January, February and March of Central location of Marchouch (33.5613° N, 6.6919° W) taken as a representative of agricultural land, were used beca

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Njouenwet, Ibrahim, Derbetini Appolinaire Vondou, Stephanie Vanessa Ngono Ashu, and Robert Nouayou. "Contributions of Seasonal Rainfall to Recent Trends in Cameroon’s Cotton Yields." Sustainability 13, no. 21 (2021): 12086. http://dx.doi.org/10.3390/su132112086.

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Cotton yields in the Sudano-Sahelian region contribute to food security through their role in agricultural productivity. Daily precipitation data and cotton yield data were synthesized from nine agricultural regions obtained from the “Société de Développement du Coton (SODECOTON)”. The following seasonal rainfall indices—from Cameroon’s cotton zone—were mapped with geographic information systems for spatial analysis: wet season onset and retreat date, rainfall amount, number of rainy days, rainfall intensity (SDII), heavy-rainfall events (R95p), consecutive dry days (CDD), annual highest daily

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Oliver, Y. M., M. J. Robertson, P. J. Stone, and A. Whitbread. "Improving estimates of water-limited yield of wheat by accounting for soil type and within-season rainfall." Crop and Pasture Science 60, no. 12 (2009): 1137. http://dx.doi.org/10.1071/cp09122.

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Rainfall is the main driver of potential yield in the dryland cropping environment of Australia. Rainfall-based empirically derived models such as that proposed by French and Schultz (1984) (F&S) can be used to determine an upper limit of water-limited potential yield, but F&S often overestimates actual yield as it does not account for rainfall distribution, runoff, drainage, or stored soil water. More complex models are available to predict potential yield more accurately; however, farmers and advisors favour easy-to-use-methods to estimate potential yield. To derive a simple yet accu

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Márton, L. "Fertilisation, rainfall and crop yield." Acta Agronomica Hungarica 52, no. 2 (2004): 165–72. http://dx.doi.org/10.1556/aagr.52.2004.2.7.

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The effect of rainfall quantity and distribution and of N, P, K, Ca and Mg fertilisation on the yields of rye, potato, winter wheat and triticale were evaluated in the 42 years of a long-term mineral fertilisation experiment [soil (acidic, sandy, brown forest) × fertilisation (N, P, K, Ca, Mg) × rainfall (quantity, distribution) × crop (rye, potato, winter wheat, triticale)] set up in 1962 under fragile agro-ecological conditions in the Nyírlugos-Nyírség region of Eastern Hungary. The soil had the following agrochemical characteristics: pH (H2O) 5.9, pH (KCl) 4.7, hydrolytic acidity 8.4, hy1 0

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Matsui, Naohiro. "11-Year Rainfall and Maize Yield Variation (2003-2013) in Four Northern Districts of Malawi." Journal of Agricultural Science 8, no. 5 (2016): 95. http://dx.doi.org/10.5539/jas.v8n5p95.

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<p>Rainfall in the maize cropping season (Oct-Apr) in the four northern districts of Malawi was examined in terms of seasonal fluctuation and spatial distribution, and data spanning 11 years were analyzed. Rainfall fluctuations in the 11-year period differed considerably among the four districts and the Extension Planning Areas (EPAs) showed high coefficients of variance (CVs) (16.9-93.7). The equation with the three-month rainfall (October, February, and April), i.e., Maize yield (kg/ha) in SH = 2.29 + 0.0042 × Oct rainfall – 0.0009 × Feb rainfall + 0.00045 × Apr rainfall (r<sup>2

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Peterson, Todd Andrews, Charles A. Shapiro, and A. Dale Flowerday. "Rainfall and previous crop effects on crop yields." American Journal of Alternative Agriculture 5, no. 1 (1990): 33–37. http://dx.doi.org/10.1017/s0889189300003209.

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AbstractAfield study was conducted between 1972 and 1982 to compare the effects of previous crop on row crop yields under rainfed conditions in eastern Nebraska. The objectives were to determine the effects of fallow and three previous crops: corn (Lea. maysLJ, soybeans /Glycine max (L.) Mem], and grain sorghum /Sorghum bicolor (L.) Moench], on the growth and grain yield of the same crops. The study was conducted on a Sharpsburg silty clay loam (fine, montmorillonitic, mesicf Typic Argiudoll). Corn grain yield was most variable (C. V. 23.4percent) compared to soybean (C. V. 13.6percent) or gra

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Anwar, M. R., D. Rodriguez, D. L. Liu, S. Power, and G. J. O'Leary. "Quality and potential utility of ENSO-based forecasts of spring rainfall and wheat yield in south-eastern Australia." Australian Journal of Agricultural Research 59, no. 2 (2008): 112. http://dx.doi.org/10.1071/ar07061.

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Reliable seasonal climate forecasts are needed to aid tactical crop management decisions in south-eastern Australia (SEA). In this study we assessed the quality of two existing forecasting systems, i.e. the five phases of the Southern Oscillation Index (SOI) and a three phase Pacific Ocean sea-surface temperatures (SSTs), to predict spring rainfall (i.e. rainfall from 1 September to 31 November), and simulated wheat yield. The quality of the forecasts was evaluated by analysing four attributes of their performance: their reliability, the relative degree of shift and dispersion of the distribut

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Awala, Simon Kamwele, Kudakwashe Hove, Johanna Shekupe Valombola, et al. "Co-Cultivation and Matching of Early- and Late-Maturing Pearl Millet Varieties to Sowing Windows Can Enhance Climate-Change Adaptation in Semi-Arid Sub-Saharan Agroecosystems." Climate 11, no. 11 (2023): 227. http://dx.doi.org/10.3390/cli11110227.

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In semi-arid regions, climate change has affected crop growing season length and sowing time, potentially causing low yield of the rainfed staple crop pearl millet (Pennisetum glaucum L.) and food insecurity among smallholder farmers. In this study, we used 1994–2023 rainfall data from Namibia’s semi-arid North-Central Region (NCR), receiving November–April summer rainfall, to analyze rainfall patterns and trends and their implications on the growing season to propose climate adaptation options for the region. The results revealed high annual and monthly rainfall variabilities, with nonsignifi

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Atar, Bekir. "Determination and Assessments the Yield Gap Between the Wheat Yield and Potential Yield in Turkey." Turkish Journal of Agriculture - Food Science and Technology 6, no. 10 (2018): 1339. http://dx.doi.org/10.24925/turjaf.v6i10.1339-1346.1825.

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Knowing the current and the potential production amount of wheat is essential to meet the growing needs. Yield is determined by many factors. The main factors that limit the potential yield are genetic characteristics, and climatic factors such as rainfall and radiation, and management. Wheat is mostly grown in non-irrigated areas in Turkey. The most significant factors that limit dry agriculture wheat production yield in the Mediterranean climatic type are rainfall and its distribution in the growing season. A steady increase in yield is observed in Turkey in recent years. Average annual whea

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Cetin, Oner, Mehmet Yildirim, Cuma Akinci, and Anna Yarosh. "Critical Threshold Temperatures and Rainfall in Declining Grain Yield of Durum Wheat (Triticum Durum Desf.) During Crop Development Stages." Romanian Agricultural Research 39 (2022): 247–57. http://dx.doi.org/10.59665/rar3924.

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The effects of maximum temperature, rainfall and growing degree day on grain yield of durum wheat (Triticum durum Desf.) were studied during the period of available years (2005-2017) in the study sites. A polynomial equation was described the relationship between grain yield, maximum temperature and rainfall for four growing stages of winter wheat. The nonlinear relationships were used from time-series variations in temperatures, rainfall and yields. The maximum positive effects of rainfall (R2=0.72*) on grain yield was in the mid-season stage (heading, anthesis and grain filling) of the crop.

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Tiamiyu, Saliu Akinlabi, Jude N. Eze, Taibat Moji Yusuf, Alhassan Tsako Maji, and Samuel Oladele Bakare. "Rainfall Variability and its Effect on Yield of Rice in Nigeria." International Letters of Natural Sciences 49 (November 2015): 63–68. http://dx.doi.org/10.18052/www.scipress.com/ilns.49.63.

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Nigerian rice production is mainly rain-fed and naturally prone to vagaries of rainfall variability. The objective of this study was to determine the probable effect of rainfall variability on average yield of rice in Nigeria during a 22-year period (1992-2013). The mean annual rainfall data from major rice producing states and national average rice yields were analyzed using descriptive statistics and regression models. Results of the analysis revealed a significant variation in mean annual rainfall across vegetation grouping in a descending order from swamp forest to Sudan savanna. Mean rain

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Tiamiyu, Saliu Akinlabi, Jude N. Eze, Taibat Moji Yusuf, Alhassan Tsako Maji, and Samuel Oladele Bakare. "Rainfall Variability and its Effect on Yield of Rice in Nigeria." International Letters of Natural Sciences 49 (November 24, 2015): 63–68. http://dx.doi.org/10.56431/p-yk8v53.

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Nigerian rice production is mainly rain-fed and naturally prone to vagaries of rainfall variability. The objective of this study was to determine the probable effect of rainfall variability on average yield of rice in Nigeria during a 22-year period (1992-2013). The mean annual rainfall data from major rice producing states and national average rice yields were analyzed using descriptive statistics and regression models. Results of the analysis revealed a significant variation in mean annual rainfall across vegetation grouping in a descending order from swamp forest to Sudan savanna. Mean rain

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Erskine, W., and F. El Ashkar. "Rainfall and temperature effects on lentil (Lens culinaris) seed yield in Mediterranean environments." Journal of Agricultural Science 121, no. 3 (1993): 347–54. http://dx.doi.org/10.1017/s0021859600085543.

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SUMMARYLentil (Lens culinaris Medikus) is a rain-fed crop in North Africa and West Asia whose yields are limited by the amount and distribution of rainfall and winter cold. This study aimed to quantify the effects of climatic variables on lentil seed yields through the fitting of simple empirical models to trial data of two cultivars sown at six sites, 1983–89, representing 31 environments in Syria. The ranges over environments were 152–527 mm for total season rainfall and 1–52 for the number of frost nights. Overall, the total seasonal rainfall accounted for 40·8% of the variance in mean seed

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McDonald, GK. "Grain yields of field pea (Pisum sativum L.) in South Australia." Australian Journal of Experimental Agriculture 35, no. 4 (1995): 515. http://dx.doi.org/10.1071/ea9950515.

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The grain yield of field pea (Pisum sativum L.) between 1959-60 and 1991-92 was examined in selected Hundreds in important peagrowing regions of South Australia. Over the 33 years, the rates of increase in grain yield have been substantial, ranging from 20 to 48 kg/ha.year. The rate of increase in the State average for the same period was 22 kg/ha. year. The largest rates of increase have occurred mainly in the Hundreds in the higher rainfall areas. Yields have increased irregularly. During the 1960s grain yields rose relatively slowly, but from the mid 1970s to the mid 1980s, large increases

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Jones, M. J. "Plant Population, Rainfall and Sorghum Production in Botswana. I. Results of Experiment Station Trials." Experimental Agriculture 23, no. 3 (1987): 335–47. http://dx.doi.org/10.1017/s0014479700017221.

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SUMMARYGeneral mathematical relations between yield parameters, plant populations and rainfall were developed for an indigenous sorghum from the results of 28 population/row spacing trials conducted at four sites over five seasons. Populations maximizing yield increased from 25 000 to 69 000 plants ha−1 over the rainfall range 200–700 mm (pre-planting to harvest total). Tillering partly compensated for low populations but yields from 10000 plants ha−1 at 300 and 600 mm rainfall were only 80 and 61% of potential maximum, respectively. Row spacing at constant population affected tiller numbers a

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Reddy, B. Sahadeva, K. Ashok Kumar, K. V. S. Sudheer, et al. "Sustainability of Pod Yields of Groundnut through Crop Seasonal Rainfall, Length of Growing Period and Cultivated Area under Arid Alfisols of Anantapur in South India." Asian Journal of Applied Science and Technology 07, no. 01 (2023): 80–104. http://dx.doi.org/10.38177/ajast.2023.7108.

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A study was conducted with the objective of assessing the effect of crop seasonal rainfall and length of growing period on the sustainability of pod yields of groundnut attained in 31 mandals under arid Alfisols of Anantapur in Andhra Pradesh. We have considered the variability of mandals with regard to (i) crop seasonal rainfall (mm) and (ii) pod yield of groundnut (kg/ha) during 2001 to 2020; (iii) extent of crop area (ha) during 2009 to 2020; and (iv) length of growing period (days). Based on the mean and standard deviation (SD) of each parameter, the mandals were classified into 5 groups v

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Tafoughalti, K., E. M. El Faleh, Y. Moujahid, and F. Ouargaga. "Climate Change Impact on Rainfall: How will Threaten Wheat Yield?" E3S Web of Conferences 37 (2018): 03001. http://dx.doi.org/10.1051/e3sconf/20183703001.

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Climate change has a significant impact on the environmental condition of the agricultural region. Meknes has an agrarian economy and wheat production is of paramount importance. As most arable area are under rainfed system, Meknes is one of the sensitive regions to rainfall variability and consequently to climate change. Therefore, the use of changes in rainfall is vital for detecting the influence of climate system on agricultural productivity. This article identifies rainfall temporal variability and its impact on wheat yields. We used monthly rainfall records for three decades and wheat yi

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Piha, M. I. "Optimizing Fertilizer Use and Practical Rainfall Capture in a Semi-Arid Environment with Variable Rainfall." Experimental Agriculture 29, no. 4 (1993): 405–15. http://dx.doi.org/10.1017/s0014479700021128.

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SummaryFertilizer use in the semi-arid tropics is considered risky because of the unreliable rainfall pattern. A flexible system of fertilization was devised which allowed for high yields in wet years, and reduced financial losses in dry years. Relatively immobile nutrients, such as phosphorus, potassium and sulphur, were applied at rates determined from generalized soil properties and the total nutrient uptake required for a crop to achieve its maximum yield potential in a season with average rainfall. Nitrogen was applied as a series of split applications, which were adjusted during the seas

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Devkota, Niranjan, and Nirash Paija. "Impact of Climate Change on Paddy Production: Evidence from Nepal." Asian Journal of Agriculture and Development 17, no. 2 (2020): 63–78. http://dx.doi.org/10.37801/ajad2020.17.2.4.

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This study assesses the long-run relationship and short-run dynamics between paddy yields and climate variables, particularly maximum and minimum temperature and rainfall, using time-series data from 1971 to 2014 in Nepal. Applying Autoregressive-Distributed Lag Regression or ARDL bounds testing approach for analysis of co-integration between the variables, we confirm that there is a long-run relationship among the variables. Furthermore, we employ Granger non-causality tests for robustness. The findings reveal that rainfall has substantial effects on the rice yield. Specifically, a positive a

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Yu, Ji Lin, Hua Qi, Lin Xue Nie, et al. "Effects of Environment Variables on Maize Yield and Ear Characters." Advanced Materials Research 726-731 (August 2013): 106–13. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.106.

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The global warming brings important effects to the ecological system, agricultural environment and crop yields. Summer maize variety ZD 958 was planted at different sowing dates and densities. Relationship between yield, ear characters and climatic factors were studied. Results showed that rainfall was the key limiting factor affecting maize production; the effective accumulated temperature after florescence was the important factor affecting bald ear tips and shrunken kernels; rainfall after florescence was the major factor affecting row grains and kernels deep; correlation between yield and

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Pepó, P., and V. Kovačević. "Regional analysis of winter wheat yields under different ecological conditions in Hungary and Croatia." Acta Agronomica Hungarica 59, no. 1 (2011): 23–33. http://dx.doi.org/10.1556/aagr.59.2011.1.3.

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Wheat is the second most important field crop on arable lands in Hungary and Croatia. Yield variations between years are high in both countries. In the short term these variations are mainly the result of the weather parameters specific to individual growing seasons. The aim of this study was to compare variations in winter wheat yields over years in four counties in Hungary and five in Croatia, with the emphasis on the impact of rainfall and mean air temperature regimes. The results showed that rainfall in spring was most decisive for winter wheat yields. The highest winter wheat yields were

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Lubinga, Pathias N., Lydia M. Chabala, Mutisungilire Kachulu, and Vernon R. N. Chinene. "Effect of Climatic Variability on Maize and Soybean Yield under High Input Farming System in Copperbelt Province, Zambia." Journal of Sustainable Development 12, no. 4 (2019): 53. http://dx.doi.org/10.5539/jsd.v12n4p53.

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In many developing countries, the effect of climate change on agriculture is evaluated with reference to small scale farmers, mainly under low input systems. As a result, literature on climate variability and its effect on high input farming systems are scanty. We evaluated the impact of climatic variability on maize and soybean yield under a high input management system. The objectives of the study were to: (i) assess rainfall and temeperature variability at a high input farm (ii) evaluate the effect of rainfall and temperature on maize and soybean yield under high input management system. (i

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Santos, Eduardo Silva dos, Plinio Antonio Guerra Filho, Sheyla Sales de Oliveira, Breno dos Santos Silva, Antonio Emanuel Souta Veras, and Daniela Abreu de Souza. "Interannual rainfall variability and soybean yields in Mata Roma municipality, Maranhão." Revista Engenharia na Agricultura - REVENG 31, Contínua (2023): 19–30. http://dx.doi.org/10.13083/reveng.v30i1.14276.

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Among the activities affected by rainfall variability, agriculture is one of the most vulnerable. In this sense, this work aimed to relate the interannual rainfall variability with the soybean yields variability in Mata Roma municipality, Maranhão, considering dry and rainy events. For this, for the period from 2003 to 2019, data on average soybean yield and rainfall in this producing region, which is one of the main ones in the State, were analyzed. Monthly rainfall data for the period 1985-2019 were also analyzed and the dry and rainy events were identified in these two meteorological data s

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Cornish, PS, and GM Murray. "Low rainfall rarely limits wheat yields in southern New South Wales." Australian Journal of Experimental Agriculture 29, no. 1 (1989): 77. http://dx.doi.org/10.1071/ea9890077.

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Alternative models were compared for predicting the yield of wheat (Triticum aestivum) from water-use and water-use efficiency. A locally derived empirical model most closely predicted experimental yields at Wagga Wagga and was used to compute water-limited potential yields for the district surrounding Wagga Wagga for the period 1960-84. District yields were close to the predicted potential in dry years, but reached a plateau of about 2.0 t/ha regardless of rainfall and the water-limited potential yield. The yields were less than 50% of potential when water-use exceeded 300 mm, which occurred

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DUTTA, RISHIRAJ, ERIC M. A. SMALING, RAJIV MOHAN BHAGAT, VALENTYNE A. TOLPEKIN, and ALFRED STEIN. "ANALYSIS OF FACTORS THAT DETERMINE TEA PRODUCTIVITY IN NORTHEASTERN INDIA: A COMBINED STATISTICAL AND MODELLING APPROACH." Experimental Agriculture 48, no. 1 (2011): 64–84. http://dx.doi.org/10.1017/s0014479711000834.

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SUMMARYThis study analyses the factors affecting tea productivity in Northeast India using a combined statistical and modelling approach. The effects of a number of genotypic, environmental and management factors on tea yield are quantified and modelled, using a three-year (2007–2009) field trial in Assam, Northeast India. Simulations of the potential tea yield are obtained using the Cranfield University Plantation Productivity Analysis (CUPPA) Tea model to find out how well the predicted and observed values for tea production match. This combined approach shows that plantation age has a signi

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Kalaivani, A. S., and M. Ramesh. "Rainfall and Its Impact on Maize Yield." International Review of Business and Economics 1, no. 3 (2018): 104–6. http://dx.doi.org/10.56902/irbe.2018.1.3.30.

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The present study is to analyze the impact of rainfall on maize yield in Cuddalore district based on ten years data (2005-2006 to 2014- 2015). The study conducted with the objective of relationship between area, production, actual rainfall, and maize yield in the study area. The results of the study reveal that actual rainfall adversely affects maize productivity, while the effect of actual rainfall is maximum negative and no significant for maize crops.

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Chourghal, N., H. Belguerri, K. Maamri, F. Bahlouli, A. Salamani, and M. Benaini. "Diagnosis of the rainfall-wheat yield relationship in the current and future climate change conditions in Eastern Algeria." Biosystems Diversity 31, no. 2 (2023): 158–62. http://dx.doi.org/10.15421/012316.

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Future projections indicate that rain-fed agriculture in North Africa is among the most vulnerable in the world in the context of future climate change. This article aims to diagnose the relationship between rainfall and wheat yield in both current and future climatic situations in a semi arid agro-climatic conditions represented by the region of Bordj Bou Arreridj. For the current situation, we used 15 years (1995–2009) of recorded rainfall and durum wheat yield series. Future rainfall projections (2071–2100) were generated by the MED-CORDEX climate model version CCLM4-8-19 under RCP 6.0 scen

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Xiao, Pei Qing, Wen Yi Yao, and Chang Gao Wang. "Soil Erosion Process in Sloped Shrub Plots under Simulated Rainfall." Advanced Materials Research 347-353 (October 2011): 2094–97. http://dx.doi.org/10.4028/www.scientific.net/amr.347-353.2094.

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Runoff, sediment yield and infiltration process of shrub plots were studied under rainfall intensities of 45, 87 and 127 mm/h with 20° slope gradient using simulated rainfall experiment. The results showed that cumulative runoff and cumulative sediment yield of shrub plot had an obvious positive correlation with rainfall time. Under rainfall intensity of 45 mm/h, runoff and sediment yield of shrub plot kept a constant level. Under rainfall intensity of 87 mm/h, runoff kept a fluctuant increase, whereas sediment yield basically kept steady. Under rainfall intensity of 127 mm/h, runoff and sedim

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Jones, M. J., and A. Wahbi. "Site-factor Influence on Barley Response to Fertilizer in On-farm Trials in Northern Syria: Descriptive and Predictive Models." Experimental Agriculture 28, no. 1 (1992): 63–87. http://dx.doi.org/10.1017/s0014479700023024.

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SummaryThe effects of site and rate of application of fertilizer on the grain and straw production of barley were investigated in 75 trials on representative farmers' fields. Grain and straw production were strongly but curvilinearly correlated with growth-period rainfall over the range 136–568 mm, almost irrespective of soil type, previous crop or fertilizer rate, and responded positively to applied nitrogen and/or phosphorus in 74 of the trials. Responses to nitrogen increased and those to phosphorus decreased with increasing rainfall. Yields tended to be lower but responses to nitrogen were

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Silungwe, Festo, Frieder Graef, Sonoko Bellingrath-Kimura, Siza Tumbo, Frederick Kahimba, and Marcos Lana. "Analysis of Intra and Interseasonal Rainfall Variability and Its Effects on Pearl Millet Yield in a Semiarid Agroclimate: Significance of Scattered Fields and Tied Ridges." Water 11, no. 3 (2019): 578. http://dx.doi.org/10.3390/w11030578.

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Establishing food security in sub-Saharan African countries requires a comprehensive and high resolution understanding of the driving factors of crop production. Poor soil and adverse climate conditions are among the major drivers of poor regional crop production. Drought and rainfall variability challenges are not fully being addressed by rainfed producers in semiarid areas. In this study, we analysed the spatiotemporal rainfall variability (STRV) and its effects on pearl millet yield using two seasons of data collected from 38 rain gauge stations scattered randomly in farm plots within a 150

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FitzGerald, RD, ML Curll, and EW Heap. "Wheat for fodder and grain on the Northern Tablelands of New South Wales." Australian Journal of Experimental Agriculture 35, no. 1 (1995): 93. http://dx.doi.org/10.1071/ea9950093.

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Thirty varieties of wheat originating from Australia, UK, USA, Ukraine, and France were evaluated over 3 years as dual-purpose wheats for the high rainfall environment of the Northern Tablelands of New South Wales (mean annual rainfall 851 mm). Mean grain yields (1.9-4.3 t/ha) compared favourably with record yields in the traditional Australian wheatbelt, but were much poorer than average yields of 6.5 t/ha reported for UK crops. A 6-week delay in sowing time halved grain yield in 1983; cutting in spring reduced yield by 40% in 1986. Grazing during winter did not significantly reduce yields. R

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Zhang, Heping, Neil C. Turner, Narelle Simpson, and Michael L. Poole. "Growing-season rainfall, ear number and the water-limited potential yield of wheat in south-western Australia." Crop and Pasture Science 61, no. 4 (2010): 296. http://dx.doi.org/10.1071/cp09288.

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Knowledge of the contribution of ear number per unit area, grains per ear, and kernel weight to grain yield is important in understanding the limits to the water-limited potential yield of wheat in rain-fed agricultural regions. This paper analyses the relationships between grain yield, yield components and growing-season rainfall using data from the low-, medium-, and high-rainfall zones of the cropping region of south-western Australia. The aim of the paper is to quantify the contribution of ear number, grains per ear and kernel weight to grain yield and define the yield components of wheat

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Munodawafa, Adelaide. "The Effect of Rainfall Characteristics and Tillage on Sheet Erosion and Maize Grain Yield in Semiarid Conditions and Granitic Sandy Soils of Zimbabwe." Applied and Environmental Soil Science 2012 (2012): 1–8. http://dx.doi.org/10.1155/2012/243815.

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In semiarid regions, rainfall is one of the primary factors affecting soil erosion and crop production under rain-fed agriculture. The study sought to quantify the effect of rainfall characteristics on sheet erosion and maize grain yield under different tillage systems. It was carried out under semiarid conditions and infertile sandy soils of Zimbabwe. Rainfall amount and intensity were recorded every 24 hours, while sheet erosion was measured from four tillage systems (Conventional Tillage (CT), Mulch Ripping (MR), Tied Ridging (TR) and Bare Fallow (BF)). Maize (Zea mays L.) was grown on thre

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Kwakye, Jacob. "Effect of Temperature and Rainfall Variability on Selected Crop Yields in Wenchi Municipality of Ghana." American Journal of Environment and Climate 2, no. 1 (2023): 24–32. http://dx.doi.org/10.54536/ajec.v2i1.1328.

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The paper examines how rainfall and temperature variability affect the yields of selected food crops in the Wenchi municipality of Ghana. The study employed the quantitative research method to achieve its objective. The datasets consisted of historical records of monthly observational data of temperature and rainfall collected over 22 years (2000-2021), and yearly records of cassava, yam, and maize yield data collected over 22 years (2000 to 2021). Trend analysis was conducted to examine the trend in the climate variables (temperature and rainfall) and the yield of the selected food crops (cas

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Shin. "Influence of Spatial Rainfall Distribution on Sediment Yield: An Experimental Study." Journal of the Korean Society of Civil Engineers 35, no. 1 (2015): 111. http://dx.doi.org/10.12652/ksce.2015.35.1.0111.

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RAO, UMB, and K. VIJAYALAKSHMI. "Rainfall-yield relationships in rainfed sorghum in India." MAUSAM 37, no. 4 (2022): 529–32. http://dx.doi.org/10.54302/mausam.v37i4.2595.

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The variation in rainfall and its distribution causes high fluctuations in production and productivity under rainfed agriculture. The data generated during last decade by All India co-ordinated Project for Dryland Agriculture were used for developing yield rainfall relationships. Total rainfall and its distribution affected the yield. Based on the correlations between yield and weekly rainfall from time of seeding, the growing season was divided into different periods. Various models were tried for prediction. The study was carried out for monsoon sorghum crop for four locations, viz., H

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Xu, Jiajia, Jianjun Zhang, Minyi Li, and Fenzhong Wang. "Effect of Rain Peak Morphology on Runoff and Sediment Yield in Miyun Water Source Reserve in China." Water 11, no. 12 (2019): 2429. http://dx.doi.org/10.3390/w11122429.

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The research on the impact of rainfall patterns on runoff and sediment yield is still insufficient, especially under natural rainfall conditions. We analyzed the influence of rain peak morphology on runoff and sediment yield based on the data of rainfall, runoff, and sediment in the bare runoff plot of Shixia, a small watershed in the Miyun district of Beijing, from 2007 to 2016. We took 0.4 mm min−1 as the standard of rain peak classification and the peak width, peak number, peak value, peak position and multi-peak continuity as the indexes of rain peak morphology. The results showed that: (1

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FITSUM BEKELE, DIRIBA KORECHA, and LISANEWORK NEGATU. "Influence of rainfall features on barley yield in Sinana district of Ethiopia." Journal of Agrometeorology 19, no. 2 (2017): 125–28. http://dx.doi.org/10.54386/jam.v19i2.684.

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Rainfall data and barley production of Sinana district, South East Ethiopia for the period 1995-2016 were used to analyze influence of rainfall features on barley yield using correlation and regression techniques. Downscaled output of CSIRO-Mk3.6.0 GCM model for RCP 8.5 emission scenario for the period 2020-2049 were used to determine future rainfall and to ascertain its impact on barley yield. Sixrainfall characteristics viz. onset date, end date, length of growing season, seasonal (June-September, kiremt) rainfall, and total annual rainfall were analysed. Kiremt (JJAS) contributes 37 per cen

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CHOWDHURY, A., and M. M. DANDEKAR. "Effect of rainfall on groundnut (Arachis hypogaes L) Yield over Rajkot district." MAUSAM 42, no. 4 (2022): 353–56. http://dx.doi.org/10.54302/mausam.v42i4.3264.

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Fisher's technique has, been adopted for finding out, effect of the rainfall on its distribution on the groundnut yield in Rajkot district. For this purpose yield and rainfall data from 1966 to 1986 have been .10-14 el e data used, From dally values, weekly rainfall for the crop growth period. VIZ., 23rd to 40th standard weeks were computed. Periods of adverse or beneficial effects of rainfall on yield were found. Yield were found.

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Bhandari, Govinda. "Effect of rainfall on the yield of major cereals in Darchula District of Nepal." International Journal of Environment 3, no. 1 (2014): 205–13. http://dx.doi.org/10.3126/ije.v3i1.9954.

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Rainfall is one of the most important factors for the growth of cereals. Inadequate water results poor growth and reduced yield. This study is aimed to explore the relationship between rainfall and yield of major cereals in Darchula district of Nepal. The yield of individual cereals is correlated with the seasonal rainfall data using MS Excel to identify the effect of rainfall on yield of cereals. The amount of rainfall in the years 1974, 1977, 1980, 1985, 1986, 1987, 1991, 1992, 1994, 1996, 1997, 1999 and 2000 was reduced which has greatly affected the yield of rice, wheat and maize in 1986 a

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