Relevant bibliographies by topics / Leaf yield

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Leaf yield'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Leaf yield"

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Clifford, P. T. P. "EFFECT OF LEAF AREA ON WHITE CLOVER SEED PRODUCTION." NZGA: Research and Practice Series 2 (January 1, 1985): 25–31. http://dx.doi.org/10.33584/rps.2.1985.3306.

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Leaf size is a major determinant of white clover seed yield. A three-fold increase in leaf size halves seed yield. From a survey of commercial crops, an optimum leaf size concept was used to explain the reduction in yield potential for extremes in leaf size. Overgrazing gave small leaves and lowered seed yields. Closing too early gave large leaves and lowered yields. With good management, optimum leaf size was the smallest size possible, consistent with ensuring an adequate bulk for efficient harvesting. A healthy highly-reproductive stolen population has to be developed before closing. Second
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Jalilian, J., and H. Delkhoshi. "How Much, Leaves Near the Ear Contribute on Yield and Yield Components of Maize?" Cercetari Agronomice in Moldova 47, no. 2 (2014): 5–12. http://dx.doi.org/10.2478/cerce-2014-0012.

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Abstract In order to study the role of leaf position on yield and yield component of maize, this research was conducted based on randomized complete block design with three replicates at the research field of Urmia University, Urmia, Iran, in 2011. For determine the role of leaf position in maize yield, we used the leaf removing (clipping) treatments. Leaf clipping treatments contain ear leaf clipping, above ear leaf clipping, below ear leaf clipping and control (without leaf clipping) that imposed at one week after ear initiation. Leaf removing had a significant effect on all measured traits
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Filho, A. Bergamin, S. M. T. P. G. Carneiro, C. V. Godoy, L. Amorim, R. D. Berger, and B. Hau. "Angular Leaf Spot of Phaseolus Beans: Relationships Between Disease, Healthy Leaf Area, and Yield." Phytopathology® 87, no. 5 (1997): 506–15. http://dx.doi.org/10.1094/phyto.1997.87.5.506.

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Five field experiments were conducted to investigate the relationship between the severity of visible disease (X), area under the disease progress curve (AUDPC), healthy leaf area index on any given day (HLAI), radiation intercepted by healthy leaf area on any given day (HRI), healthy leaf area duration (HAD), total healthy leaf area absorption (HAA), and yield of Phaseolus beans, cultivars Rosinha and Carioca, inoculated with Phaeoisariopsis griseola at several doses. In general, yield was not related to disease severity (X) or AUDPC. In contrast, the highest yields were always related to the
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Ascari, João Paulo, Inês Roeder Nogueira Mendes, Vanessa Costa da Silva, and Dejânia Vieira de Araújo. "Ramularia leaf spot severity and effects on cotton leaf area and yield1." Pesquisa Agropecuária Tropical 46, no. 4 (2016): 434–41. http://dx.doi.org/10.1590/1983-40632016v4642781.

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ABSTRACT Cotton monoculture favors the development of diseases such as ramularia leaf spot, which causes early defoliation and boll rotting, thus decreasing yield. This study aimed at evaluating the severity of ramularia leaf spot and its effects on cotton leaf area and yield. The experiment was conducted in a triple (4 x 3 x 2) factorial design, consisting of four cultivars (FM940GLT, FM944GL, TMG42WS and TMG43WS), three thirds of the plant (lower, middle and upper) and two management conditions (with and without fungicide application). To the variable area under the disease progress curve, t
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Parris, Cheryl A., Clinton C. Shock, and Michael Qian. "Soil Water Tension Irrigation Criteria Affects Stevia rebaudiana Leaf Yield and Leaf Steviol Glycoside Composition." HortScience 52, no. 1 (2017): 154–61. http://dx.doi.org/10.21273/hortsci11352-16.

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Stevia (Stevia rebaudiana Bertoni) is of interest for the production of steviol glycosides due to their noncaloric sweetening properties. Commercial stevia leaf production to date has focused on rebaudioside A and stevioside. Relatively little is known about the cultural practices necessary for the efficient production of stevia leaf and steviol glycosides. Irrigation management is an important agronomic technique that growers can use to obtain high yield while also pursuing water use efficiency (WUE). This trial investigated the effect that irrigation onset criteria measured as soil water ten
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Ionuṭ RACZ, Rozalia KADAR, Sorin VȂTCĂ, et al. "RELATIONSHIP BETWEEN LEAF AREA SURFACE, CHLOROPHYLL CONCENTRATION AND YIELD COMPONENTS IN SPRING WHEAT." LIFE SCIENCE AND SUSTAINABLE DEVELOPMENT 2, no. 2 (2021): 1–5. http://dx.doi.org/10.58509/lssd.v2i2.122.

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The present paper presents the variability of some yields and non-yields components of a group of ten varieties of spring wheat. Flag leaf area, chlorophyll concentration, spike length, number of grains/spike, weight of grains/spike and estimated grain yield were analyzed as yield components or morpho-physiological traits with a high impact on final grain yield. Flag leaf area surface has a direct an important contribution to determine increased number and weight of grains per spike. Chlorophyll concentration determined from flag leaf at early milky stage is significant correlated with weight
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BERINDEAN, Ioana, Ionut RACZ, Rozalia KADAR, et al. "RELATIONSHIP BETWEEN LEAF AREA SURFACE, CHLOROPHYLL CONCENTRATION AND YIELD COMPONENTS IN SPRING WHEAT." LIFE SCIENCE AND SUSTAINABLE DEVELOPMENT 2, no. 2 (2021): 1–5. https://doi.org/10.58509/848bqz12.

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The present paper presents the variability of some yields and non-yields components of a group of ten varieties of spring wheat. Flag leaf area, chlorophyll concentration, spike length, number of grains/spike, weight of grains/spike and estimated grain yield were analyzed as yield components or morpho-physiological traits with a high impact on final grain yield. Flag leaf area surface has a direct an important contribution to determine increased number and weight of grains per spike. Chlorophyll concentration determined from flag leaf at early milky stage is significant correlated with weight
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De Jong, DW, and G. Pittarelli. "Tobacco Leaf Protein: II. Genetic and Fractionation Approaches to Improving Tobacco Leaf Protein Production." Beiträge zur Tabakforschung International/Contributions to Tobacco Research 15, no. 1 (1991): 43–52. http://dx.doi.org/10.2478/cttr-2013-0620.

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AbstractTobacco variety T. I. 401 was evaluated for seasonal leaf protein yields and crossbred with other genotypes to determine whether leaf protein yield was a genetically transmissible trait. Relatively high leaf protein yields associated with later maturity were observed in preliminary trials but additional crossbreeding and selection is deemed necessary to achieve stable integration of improved leaf protein yields and desirable agronomic performance. Chromatographic and electrophoretic analyses demonstrated that high leaf protein yield of T. I. 401 was not associated with a particular pro
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Khan, M. A., L. E. Trevathan, and J. T. Robbins. "Quantitative Relationship Between Leaf Rust and Wheat Yield in Mississippi." Plant Disease 81, no. 7 (1997): 769–72. http://dx.doi.org/10.1094/pdis.1997.81.7.769.

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Yield losses in wheat (Triticum aestivum) caused by leaf rust were evaluated in cultivar trials at five locations in Mississippi over a 4-year period from 1986 through 1989. Different levels of disease developed in the various trials over the 4-year period. There was no significant interaction between location and cultivar when yield data were collected from sites in the north and central areas of the state. A model derived from data for eight cultivars at two locations showed a negative linear relationship between yield and leaf rust. Total grain yield was reduced by 1% for each 1% increase i
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Reidel, Edwin J., Patrick H. Brown, Roger A. Duncan, and Steven A. Weinbaum. "502 Reassessment of Leaf Potassium Critical Values in Almond." HortScience 35, no. 3 (2000): 481B—481. http://dx.doi.org/10.21273/hortsci.35.3.481b.

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Almond [Prunus dulcis (Mill.) D.A. Webb] yields have increased substantially since the 1961 publication of the Univ. of California (UC) guidelines for leaf potassium (K). Numerous growers and reputable analytical laboratories are concerned that the recommendations for leaf K are inadequate. A highly productive almond orchard with low leaf K was selected to reassess the leaf K critical value of 1.1% to1.4% and determine the relative sensitivity of various yield determinants to inadequate K availability. Baseline yields for 100 individual trees were measured in 1998 and four rates of potassium s
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Dissertations / Theses on the topic "Leaf yield"

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Schlosser, Alanna Jane. "Transitory leaf starch is an important determinant of plant yield." Thesis, Montana State University, 2011. http://etd.lib.montana.edu/etd/2011/schlosser/SchlosserA1211.pdf.

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Efficient allocation of photoassimilates from source to sink tissues is important for optimal plant growth and yield as relative source and sink strength drives growth potential of plant organs. A common method aimed at improving plant yield has been to modify enzymes important to storage compound biosynthesis in sink tissues such as seeds. As the rate limiting step in starch biosynthesis, ADP-glucose pyrophosphorylase (AGPase) has received much attention in this regard. Previously, overexpression of AGPase in seeds resulted in an enhanced yield phenotype in which both plant yield and biomass
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Zerkoune, Mohammed, Glenn Wright, and David Kerns. "Effect of Organic Amendments on Lemon Leaf Tissue, Soil Analysis and Yield." College of Agriculture, University of Arizona (Tucson, AZ), 2003. http://hdl.handle.net/10150/198114.

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An experiment was initiated in 2000 to study the feasibility of growing organic lemons in the southwest desert of Arizona. An eight-acre field was selected on Superstition sandy soil at the Mesa Agricultural Research Center to conduct this investigation. Lemon trees were planted at 25 x 25 feet spacing in 1998. The initial soil test in top 6 inches was 5 ppm nitrate-nitrogen and 4.9 ppm NaHCO3-P. Soil pH was 8.7 in the top 6 inches. Four treatments were applied in randomized complete block design repeated four times. The treatments were beef cattle feedlot manure and perfecta, clover an
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Zerkoune, Mohammed, Glenn Wright, and David Kerns. "Effect of Organic Amendments on Lemon Leaf Tissue, Soil Analysis and Yield." College of Agriculture, University of Arizona (Tucson, AZ), 2002. http://hdl.handle.net/10150/223674.

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An experiment was initiated in 2000 to study the feasibility of growing organic lemon in the southwest desert of Arizona. An eight-acre field was selected on Superstition sandy soil at the Mesa Agricultural Research Center to conduct this investigation. Lemon trees were planted at 25 feet spacing in 1998. The initial soil test in top 6 inches was 5 ppm nitrate-nitrogen and 4.9 ppm NaHCO3-P. Soil pH was 8.7 in the top 6 inches. Four treatments were applied in randomized complete block design repeated four times. The treatments were beef cattle feedlot manure and perfecta, clover and guano, guan
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Whelan, Helen G. "The effect of crop yield potential on disease yield loss relationships in barley (Hordeum vulgare L.)." Lincoln University, 1992. http://hdl.handle.net/10182/1980.

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Proportional loss models commonly used in disease surveys are based on the assumption that per cent yield loss is the same in all crops, regardless of their yield potential. Estimates of regional crop loss may be inaccurate if the relationship between disease and yield loss is affected by crop yield potential. The importance of crop yield potential in disease: yield loss modelling was investigated and models for more accurate regional crop loss estimates were developed, taking crop yield potential into account. Two spring sown barley (cv. Triumph) experiments were conducted in 1987/88 and 198
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Carter, Michele R. "Gray leaf spot of corn : yield loss and evaluation of germplasm for resistance /." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-10062009-020049/.

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Wilson, F. Douglas, and Hollis M. Flint. "Pink Bollworm Resistance and Lint Yield of a Nectariless, Okra-Leaf Germplasm Line." College of Agriculture, University of Arizona (Tucson, AZ), 1987. http://hdl.handle.net/10150/204496.

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A nectariless, okra -leaf germplasm line of cotton, Gossvpium hirsutum L., designated WC-12NL, was compared with a nectaried, regular leaf commercial cultivar, 'Deltapine 61' (DPL-61) at two locations, Maricopa, AZ and Brawley, CA. At Maricopa, two and three insecticide applications were required for control of pink bollworm, Pectinophora gossypiella (Saunders), on WC-12NL and DPL-61, respectively. At Brawley, six and nine applications were required. Lint yield of WC-12NL was 30% higher than that of DPL-61 at Maricopa, while at Brawley, lint yields were about equal.
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Aqeel, Abdullah Mohammad. "USING MANUAL DEFOLIATION TO SIMULATE SOYBEAN RUST: EFFECT ON GROWTH AND YIELD FORMATION." UKnowledge, 2011. http://uknowledge.uky.edu/gradschool_diss/223.

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Field experiments were conducted in Kentucky and Louisiana in 2008 and 2009 (split-plot in a randomized complete block design with four replications) to investigate it is possible to simulate with manual defoliation the effect of soybean rust (SBR) (Phakopsora pachyrhizi Syd. and P. Syd) injury on a healthy soybean [Glycine max, (L.) Merr.] canopy, understand how defoliation affects the growth dynamics and canopy light interception, and if defoliation affectsleaf senescence and nitrogen remobilization during the seed-filling period. Two manual defoliation treatments based on changes in effecti
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Chalfant, Patricia. "Responses of Grapevines to Timing and Method of Leaf Removal." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1337628161.

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Kaps, Martin L. "The influence of leaf, cluster, and berry thinning, and leaf position and shading on yield, juice composition and vine vigor of hybrid grapes /." The Ohio State University, 1985. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487260531956664.

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Jesus, Junior Waldir Cintra de. "Effects of angular leaf spot and rust on plant growth and yield of Phaseolus vulgaris." Universidade Federal de Viçosa, 2001. http://www.locus.ufv.br/handle/123456789/11523.

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Submitted by Nathália Faria da Silva (nathaliafsilva.ufv@gmail.com) on 2017-07-28T14:47:31Z No. of bitstreams: 1 texto completo.PDF: 788170 bytes, checksum: 6e3e4a0c7c8cfb5efe46312e4a84e26b (MD5)<br>Made available in DSpace on 2017-07-28T14:47:31Z (GMT). No. of bitstreams: 1 texto completo.PDF: 788170 bytes, checksum: 6e3e4a0c7c8cfb5efe46312e4a84e26b (MD5) Previous issue date: 2001-03-09<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>Este trabalho teve por objetivo estudar o efeito da mancha angular (Phaeoisariopsis griseola) e da ferrugem (Uromyces appendiculatus) sob
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Books on the topic "Leaf yield"

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Pradhanang, P. M. Quantification of the relationship between cercospora leaf spot disease (Cercospora eleusine) and yield loss of finger millet.. Lumle Regional Agricultural Research Centre, 1994.

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Walker, W. M. Effect of nitrogen, phosphorous and potassium on yield and leaf composition of corn grown on scraper placed mine soil. s.n, 1992.

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Kluck, Holger. Production Yield of Muon-Induced Neutrons in Lead. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18527-9.

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Hossain, Mohammad Anwar, Mobashwer Alam, Saman Seneweera, Sujay Rakshit, and Robert Henry, eds. Molecular breeding in wheat, maize and sorghum: strategies for improving abiotic stress tolerance and yield. CABI, 2021. http://dx.doi.org/10.1079/9781789245431.0000.

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Abstract This book contains 29 chapters focusing on wheat, maize and sorghum molecular breeding. It aims to contribute the latest understandings of the molecular and genetic bases of abiotic stress tolerance, yield and quality improvement of wheat, maize and sorghum to develop strategies for improving abiotic stress tolerance that will lead to enhance productivity and better utilization of natural resources to ensure food security through modern breeding.
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Zencirci, Nusret. Effect of scald (Rhynchosporium secalis) on yield and yield components of twelve winter barley (Hordeum vulgare) genotypes. 1989.

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Relationships between biomass, root yield and single leaf photosynthesis in field grwon cassava. Field Crops Research, 1990.

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Relationships between biomass, root yield and single leaf photosynthesis in field grwon cassava. Field Crops Research, 1990.

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Guidelines for yield assessment of opium gum and coca leaf: From brief field visits. United Nations, 2001.

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Sink source relations in cassava: effects of reciprocal grafting on yield and leaf photosynthesis. Experimental Agriculture, 1994.

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Sink source relations in cassava: effects of reciprocal grafting on yield and leaf photosynthesis. Experimental Agriculture, 1994.

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Book chapters on the topic "Leaf yield"

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van Volkenburgh, E. "Leaf and Shoot Growth." In Physiology and Determination of Crop Yield. American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/1994.physiologyanddetermination.c7.

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Sadras, V. O., and N. Trápani. "Leaf Expansion and Phenological Development: Key Determinants of Sunflower Plasticity, Growth and Yield." In Crop Yield. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-58554-8_6.

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Ishii, Ryuichi. "Leaf Photosynthesis in Rice in Relation to Grain Yield." In Photosynthesis: Photoreactions to Plant Productivity. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2708-0_24.

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Egli, Dennis B. "Growth of crop communities and the production of yield." In Applied crop physiology: understanding the fundamentals of grain crop management. CABI, 2021. http://dx.doi.org/10.1079/9781789245950.0003.

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Abstract This chapter focuses on developing general model of community growth and the production of yield by grain crops. Murata's (1969) three-stage system provides such a model. It is useful because it is simple (only three stages), it applies equally well to all grain crop species (although there are some species variation in minor details), it clearly identifies the sequential nature of the yield production process and the three stages relate to the primary drivers of the yield production process at the community level. First, the crop must accumulate the leaf area that drives community ph
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Sawant, Sachin S., Dyuti Bobby, Atharva Dusane, and Gaurav Durge. "Crop Yield Prediction and Leaf Disease Detection Using Machine Learning." In Smart Innovations and Technological Advancements in Civil and Mechanical Engineering. Apple Academic Press, 2024. http://dx.doi.org/10.1201/9781003539582-12.

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Egli, Dennis B. "Basic plant growth processes." In Applied crop physiology: understanding the fundamentals of grain crop management. CABI, 2021. http://dx.doi.org/10.1079/9781789245950.0002.

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Abstract This chapter focuses on fundamental processes of plant growth (photosynthesis, respiration, water use, leaf senescence and seed growth) and develop the community relationships that are necessary to understand the production of yield.
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Alejar, A. A., T. S. Park, B. S. Vergara, and R. M. Visperas. "The Effect of Source-Sink Imbalance on Rice Leaf Senescence and Yield." In Photosynthesis: from Light to Biosphere. Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-009-0173-5_1084.

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Pajević, S., B. Krstić, M. Plesničar, S. Denčić, and Ž. Stanković. "Photosynthetic Oxygen Evolution and Quantum Yield of Some Wheat Genotypes during Leaf Senescence." In Photosynthesis: from Light to Biosphere. Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-009-0173-5_1124.

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Rahimi, Hamid, Shahnaz Karami Sorkhalije, and Hajar Marabi. "Determining the Yield of Rice Using the Leaf Area Index (LAI) in Iran." In Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14096-9_7.

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Singh, R. P., S. Rajaram, A. Miranda, J. Huerta-Espino, and E. Autrique. "Comparison of two crossing and four selection schemes for yield, yield traits, and slow rusting resistance to leaf rust in wheat." In Developments in Plant Breeding. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-4896-2_13.

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Conference papers on the topic "Leaf yield"

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Kumar, Bura Vijay, Deepak Banerjee, and Mohhamied Husaein Fallaah. "Enhancing Cauliflower Yield through Automated Leaf Disease Classification." In 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI). IEEE, 2025. https://doi.org/10.1109/iatmsi64286.2025.10985442.

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Senthil Pandi, S., P. Kumar, R. M. Suchindhar, and A. Naresh Kumar. "Improving Crop Yield Through Leaf Disease Detection and Pests Recommendations." In 2025 International Conference on Knowledge Engineering and Communication Systems (ICKECS). IEEE, 2025. https://doi.org/10.1109/ickecs65700.2025.11034936.

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Yogitha, Akkineni, Bondili Sri Harsha Sai Singh, and Nissi Paul Mikkili. "Optimized CNN for Enhanced Cassava Leaf Disease Classification and Yield Improvement." In 2025 5th International Conference on Pervasive Computing and Social Networking (ICPCSN). IEEE, 2025. https://doi.org/10.1109/icpcsn65854.2025.11035612.

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Ronihal, Shreedevi S., Sheba Selvam, and Kusuma P. "Enhancing Crop Yield: A Deep Learning Approach to Detect Tomato Leaf Diseases." In 2025 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE). IEEE, 2025. https://doi.org/10.1109/iitcee64140.2025.10915243.

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M, Rohini, and S. Santhi. "Enhancing Crop Yield Prediction Through Hybrid CNN Models Using Multispectral Plant Leaf Data." In 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL). IEEE, 2025. https://doi.org/10.1109/icsadl65848.2025.10933368.

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Pallewatta, Pandula, Thilina Halloluwa, Kasun Karunanayaka, Gihan Seneviratne, and Samantha Mathara Arachchi. "BellCrop – A Bell Pepper Leaf Dataset for Disease Classification and Yield Enhancement using Machine Learning." In IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2024. https://doi.org/10.1109/iecon55916.2024.10905325.

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Gagana, S., and V. Ravikumar. "Machine Learning Approach for Analysis of Tomato Plant Leaf Disease Detection in Early Stages for better Crop Yield." In 2025 International Conference on Knowledge Engineering and Communication Systems (ICKECS). IEEE, 2025. https://doi.org/10.1109/ickecs65700.2025.11035313.

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Heng, Cheeyee, Mohamadhidayat Halim, Yeechong Chua, and Mohdridwan Johari. "Effect of Lead Lock Tape Mirror tool (LLT) towards machine performance & yield." In 2024 IEEE 40th International Electronics Manufacturing Technology (IEMT). IEEE, 2024. https://doi.org/10.1109/iemt61324.2024.10875291.

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Gayk, W. "Cracking in Weldments of Fine-Grained Steel for Liquid Ammonia Storage and Transport." In CORROSION 1991. NACE International, 1991. https://doi.org/10.5006/c1991-91298.

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Abstract Transverse cracks in weld seams of vessels for the storage and transportation of ammonia are known worldwide. This cracK formation occurs because the yield strengths of the weld metals concerned are too high. These high yield strengths result from the selection of a particular weld filler, the dilution of the weld metal with the base metal and the absorption of nitrogen from the air on the part of the weld metal. Stress-relief annealing can lead to a further increase in yield strength. This additional increase in yield strength is caused by precipitation and is dependent on the compos
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Srikantaiah, K. C., and A. Deeksha. "Mulberry Leaf Yield Prediction Using Machine Learning Techniques." In 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021). Atlantis Press, 2021. http://dx.doi.org/10.2991/ahis.k.210913.048.

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Reports on the topic "Leaf yield"

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Minz-Dub, A., G. J. Muehlbauer, E. Millet, and A. Sharon. ing and characterization of a novel leaf rust and stripe rust resistance gene from Sharon goatgrass. United States-Israel Binational Agricultural Research and Development Fund, 2021. http://dx.doi.org/10.32747/2021.8134171.bard.

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Each year, significant global wheat yield loss occurs due to diseases that affect yield quantity or quality. Breeding for resistance has been the best economic and environmentally safe approach to control wheat diseases, however many disease resistance (R) genes succumbed to the pathogens and are no longer effective. Hence, new sources of resistance are necessary to boost the wheat gene pool. The main source for such genes are species of wheat wild relatives in the secondary gene pool that contain an unexploited reservoir of novel R genes. Sharon goatgrass (Aegilops sharonensis Eig) is a wild
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Schmitt, Virgil L., Marlin E. Rice, Rayda K. Krell, and Kevin Van Dee. Effect of Bean Leaf Beetle Management on Soybean Yield and on Incidence of Bean Pod Mottle Virus in Eastern Iowa. Iowa State University, Digital Repository, 2002. http://dx.doi.org/10.31274/farmprogressreports-180814-438.

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Schmitt, Virgil L., and Kevin Van Dee. Effect of Cruiser Seed Treatment for Bean Leaf Beetle Management on Soybean Yield and on Incidence of Bean Pod Mottle Virus in Eastern Iowa. Iowa State University, Digital Repository, 2003. http://dx.doi.org/10.31274/farmprogressreports-180814-986.

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Schmitt, Virgil L., and Kevin Van Dee. Effects of Cruiser Seed Treatment for Bean Leaf Beetle and Soybean Aphid Management on Soybean Yield and on Incidence of Viral Disease in Eastern Iowa. Iowa State University, Digital Repository, 2006. http://dx.doi.org/10.31274/farmprogressreports-180814-1091.

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Lapidot, Moshe, and Vitaly Citovsky. molecular mechanism for the Tomato yellow leaf curl virus resistance at the ty-5 locus. United States Department of Agriculture, 2016. http://dx.doi.org/10.32747/2016.7604274.bard.

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Tomato yellow leaf curl virus (TYLCV) is a major pathogen of tomato that causes extensive crop loss worldwide, including the US and Israel. Genetic resistance in the host plant is considered highly effective in the defense against viral infection in the field. Thus, the best way to reduce yield losses due to TYLCV is by breeding tomatoes resistant or tolerant to the virus. To date, only six major TYLCV-resistance loci, termed Ty-1 to Ty-6, have been characterized and mapped to the tomato genome. Among tomato TYLCV-resistant lines containing these loci, we have identified a major recessive quan
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Eshed, Yuval, and Sarah Hake. Shaping plant architecture by age dependent programs: implications for food, feed and biofuel. United States Department of Agriculture, 2012. http://dx.doi.org/10.32747/2012.7597922.bard.

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Age dependent programs are responsible for the physiological and developmental differences of young and mature plants. These include a range of morphological characters such as leaf shape and leaf composition (waxes, lignin etc..) but also different in developmental potentials. Apical buds of juvenile plants are vegetative, while those of mature plants can be reproductive. Likewise, basal buds form in the axills of juvenile leaves have different fates than distal buds formed in the axils of mature leaves. The goal of our joint project is to understand and exploit theses age related programs fo
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Lers, Amnon, E. Lomaniec, S. Burd, A. Khalchitski, L. Canetti, and Pamela J. Green. Analysis of Senescence Inducible Ribonuclease in Tomato: Gene Regulation and Function. United States Department of Agriculture, 2000. http://dx.doi.org/10.32747/2000.7570563.bard.

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Natural leaf senescence has a negative influence on yield. Postharvest induced senescence contributes to the losses of quality in flowers, foliage, and vegetables. Strategies designed to control the senescence process in crop plants could therefore have great applied significance. Senescence is regulated by differential gene expression yet, functional characterization of the genes specifically induced and study of their expression control, is still in its infancy. Study of senescence-specific genes is required to allow identification of regulatory elements participating in senescence-induced e
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Levin, Ilan, John Thomas, Moshe Lapidot, Desmond McGrath, and Denis Persley. Resistance to Tomato yellow leaf curl virus (TYLCV) in tomato: molecular mapping and introgression of resistance to Australian genotypes. United States Department of Agriculture, 2010. http://dx.doi.org/10.32747/2010.7613888.bard.

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Tomato yellow leaf curl virus (TYLCV) is one of the most devastating viruses of cultivated tomatoes. Although first identified in the Mediterranean region, it is now distributed world-wide. Sequence analysis of the virus by the Australian group has shown that the virus is now present in Australia. Despite the importance of the disease and extensive research on the virus, very little is known about the resistance genes (loci) that determine host resistance and susceptibility to the virus. A symptom-less resistant line, TY-172, was developed at the Volcani Center which has shown the highest resi
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Lers, Amnon, and Pamela J. Green. Analysis of Small RNAs Associated with Plant Senescence. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7593393.bard.

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Senescence is an agriculturally significant process due to its negative impact to crop yield and postharvest quality. The genetic regulatory systems controlling senescence induction and progress respond to both developmental and environmental stress signals and involve numerous gene expression changes. Knowledge about the key molecular factors which control senescence is very limited. MicroRNAs (miRNAs) are a class of small RNAs which typically function by guiding cleavage of target messenger RNAs. They have been shown to play major roles in a variety of plant processes including development,
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Burbano Figueroa, Oscar, Milena Moreno Moran, Lorena Osorio Almanza, et al. Identification of resistance to ramulosis caused by Colletotrichum gossypii var. cephalosporioides in cotton advanced breeding lines and monitoring of ramulosis disease by RGB-image analysis. Corporación Colombiana de Investigación Agropecuaria - AGROSAVIA, 2016. http://dx.doi.org/10.21930/agrosavia.informe.2016.2.

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Identification of resistance to ramulosis caused by Colletotrichum gossypii var. cephalosporioides in cotton advanced breeding lines and monitoring of ramulosis disease by RGB-image analysis Abstract Cotton growing regions in South America are affected by Colletotrichum gossypii var. cephalosporioides (Cgc). The most severe epidemics provokes considerable yield reductions linked to meristem necrosis, oversprouting, excessive branching and stunting (Figure 1). The Sinu Valley is a major cotton producer in Colombia and is heavily affected by this disease. Rainfall was identified as the main driv
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