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1

Amilia, Winda, Andrew Setiawan Rusdianto, and Sayidati Zulaikhah. "Edible Coatings to Reduce Postharvest Loss of Harumanis Mango (Mangifera indica L.)." Journal La Lifesci 1, no. 3 (July 22, 2020): 1–7. http://dx.doi.org/10.37899/journallalifesci.v1i3.105.

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Harumanis is type of mango in Indonesia that meets the needs of export or local markets. Harumanis mango have not been able to fully boost the rate of export of this Indonesian fresh fruit due to poor postharvest technology. This condition has an adverse impact as it increases postharvest loss. Thus, in these conditions there must be postharvet handling of harumanis mango, one of which is edible coating made from chitosan with the addition of starch. The difference in the value of amylose and amylopectin from starch resulted in differen results. The aim of this research was to determine the effect of addition of starch types in chitosan edible coating on the postharvest loss of harumanis mango based onthe physico-chemical tests. The experiment used completely randomized design with two factor. The parameters observed were physical test including weight loss, texture, and color. Chemical test including respiration rate, vitamin C, and total soluble solids. The result showed that the addition of starch on chitosan edible coating significantly affected postharvest loss to the results of physical and chemical tests. The best treatment was the addition of starh to edible coating with chitosan because it can provide physical and chemical defense during storage at room temperature.
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2

Martins, Carlos Roberto, Alexandre Hoffmann, Cesar Valmor Rombaldi, Roseli de Mello Farias, and Adenir Vieira Teodoro. "Apple biological and physiological disorders in the orchard and in postharvest according to production system." Revista Brasileira de Fruticultura 35, no. 1 (March 2013): 1–8. http://dx.doi.org/10.1590/s0100-29452013000100001.

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The study aimed to evaluate the incidence of biological and physiological disorders in the field and postharvested apples cvs. Gala, Fuji and Catarina grown in four production systems: conventional, organic transition, integrated and organic. Apples were evaluated for damages related to biological and physiological disorders in the orchard and after harvest. The greatest damages were attributed to pests, especially Anastrepha fraterculus in the organic system and Grapholita molesta in the organic transition. Apples produced in organic orchards had higher damage levels caused by postharvest physiological disorders than those grown in other production systems. For apples becoming from organic orchards most of the damage was due to lenticels breakdown and degeneration ('Gala'), and bitter pit ('Fuji' and 'Catarina'). The incidence of postharvest rot was not influenced by apple production system.
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3

Maynard, Donald N. "Postharvest Biology." HortScience 40, no. 7 (December 2005): 1936. http://dx.doi.org/10.21273/hortsci.40.7.1936.

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4

Pedreschi, R., M. Hertog, and B. M. Nicolaï. "POSTHARVEST PROTEOMICS." Acta Horticulturae, no. 877 (November 2010): 75–80. http://dx.doi.org/10.17660/actahortic.2010.877.4.

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5

Nicolaï, B. M., R. Pedreschi, A. Geeraerd, T. Vandendriessche, and M. L. A. T. M. Hertog. "POSTHARVEST METABOLOMICS." Acta Horticulturae, no. 880 (November 2010): 369–76. http://dx.doi.org/10.17660/actahortic.2010.880.44.

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6

Gathambiri, CW, WO Owino, S. Imathiu, and JN Mbaka. "Postharvest losses of bulb onion (Allium cepa L.) in selected sub-counties of Kenya." African Journal of Food, Agriculture, Nutrition and Development 21, no. 02 (March 24, 2021): 17529–44. http://dx.doi.org/10.18697/ajfand.97.20145.

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Inappropriate postharvest practices such as unsuitable harvesting methods and inadequate curing in bulb onion lead to losses. Postharvest losses in bulb onion contribute to food and nutrition insecurity. Although Kenya has suitable environmental conditions for bulb onion production, its productivity is low, which is attributed to pre-and postharvest factors. Information on bulb onion postharvest losses and their causes in the country is scanty which limits the development of postharvest losses reduction strategies. Therefore, this study was carried out in three major bulb onion growing sub-counties of Kenya namely Mt.Elgon, Buuriand KajiadoEastto determine postharvest practices, causes, and factors influencing postharvest losses of bulb onion. A multi-stage sampling design was used to select the study areas and a total of 166respondents were randomly selected. Face-to-face interviews were conducted using a structured questionnaire to collect information on postharvest handling practices, postharvest loss levels, and their causes at farm level. Data were subjected to descriptive and logistic regression analysis using Statistical Package for Social Scientists(SPSS) software version 2.0. Results indicated that 68% of the respondents were males and with an average age of40 years in the three sites. Forty-eight percent of the respondents used leaves toppling, and 25% used drying of upper leaves as maturity indices. About 42% of the respondents used machete (panga) as a harvesting tool which significantly (P<0.05) influenced postharvest losses. Seventy seven percent of the respondents indicated that up to 30% of postharvest losses occurred at farm level. Forty percent of the respondents indicated that bulb onion rots caused 10 % loss at farm level. The level of education and mode of transport (bicycles and donkeys) significantly (P<0.05) influenced postharvest losses. It was concluded that the postharvest losses at farm levelwas30%andwere mainly caused by rotting. Socio-economic characteristics and postharvest handling practices influenced bulb onion losses at farm level. Development of postharvest losses reduction strategies on bulb onions focusing on alleviating rotting through appropriate postharvest handling practices at farm level was recommended.
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7

Kutyauripo, Innocent, Blessing Masamha, and Peter Maringe. "Exploring climate change adaptation strategies in maize (Zea mays) postharvest management practices among smallholder farmers." Outlook on Agriculture 50, no. 2 (April 8, 2021): 148–57. http://dx.doi.org/10.1177/00307270211001666.

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Climate change has negative effects on postharvest management of cereals. However, much emphasis is placed on climate change adaptation (CCA) in crop production whilst not adequately addressing the CCA in postharvest management of maize. A cross-sectional survey was conducted among smallholder farmers. Key informant interviews, observations and structured interviews on 280 household heads were done. Binary logistic regression was used to analyse determinants of use of postharvest CCA practices whilst multinomial logistic regression was used to analyse determinants of use of postharvest storage facilities. Farmers used grain protectants (40.4%) and minimised the duration of the harvesting process (34.3%) as their major CCA practices in maize postharvest management. There was a significant difference in postharvest maize loss quantities ( p ≤ 0.05) between users and non-users of CCA practices. The choice and use of climate-resilient postharvest strategies were significantly influenced by location, cultivated land, access to radio and membership to farmer club. Choice of a postharvest storage facility was significantly influenced by training and membership to farmers’ club. Smallholder farmers are using some conventional maize postharvest management practices like grain protectants to adapt to the effects of climate change. The use of maize postharvest CCA strategies significantly reduced postharvest losses.
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8

Ansah, Isaac Gershon Kodwo, and Bright K. D. Tetteh. "Determinants of Yam Postharvest Management in the Zabzugu District of Northern Ghana." Advances in Agriculture 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/9274017.

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Postharvest loss reduction has received attention in many policy documents across nations to ensure global food security, particularly in developing countries. Many researchers have examined various options for reducing postharvest losses. We contribute our quota to this scientific discourse by using a different approach. We argue that the human element of managing postharvest loss is central and therefore poses the question of what are the characteristics of the farmer who manages postharvest losses better. We examine this question by using a cross section of yam farmers in the Zabzugu district in Northern Ghana and generate a proportional variable called postharvest management, which measures how effective a farmer works to reduce storage losses. We then use a fractional logistic regression model to examine the determinants of postharvest management. A significant result is that subsistence farmers manage postharvest losses better than commercial farmers. Characteristically, the farmer who effectively manages postharvest losses is a young, subsistence farmer, living in or close to a district capital with fewer household members, has attained formal education, and produces more yam. Efforts to reduce postharvest losses require the provision of access roads to remote towns or providing effective storage techniques and training on postharvest management practices.
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9

Stieve, Susan M., and Dennis P. Stimart. "051 GENETIC ANALYSIS OF POSTHARVEST LONGEVITY IN ANTIRRHINUM MAJUS L." HortScience 29, no. 5 (May 1994): 435c—435. http://dx.doi.org/10.21273/hortsci.29.5.435c.

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Selecting for increased postharvest longevity through use of natural variation is being investigated in Antirrhinum majus (snapdragon) in order to decrease postharvest chemical treatments for cut flowers. The postharvest longevity of eighteen white commercial inbreds was evaluated. Twelve stems of each inbred were cut to 40 cm and placed in distilled water. Stems were discarded when 50% of spike florets wilted or browned. Postharvest longevity ranged from 3.0 (Inbred 1) to 16.3 (Inbred 18) days. Crossing Inbred 18 × Inbred 1 yields commercially used Hybrid 1 (6.6 days postharvest). The F2 population averaged 9.1 days postharvest (range 1 to 21 days). F3 plants indicate short life postharvest may be conferred by a recessive gene in this germplasm. Populations for generation means analysis as well as hybrids between short, medium and long-lived inbreds were generated and evaluated for postharvest longevity.
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10

Çelikel, Fisun Gürsel. "Organik Bahçe Ürünlerinin Hasat Sonrası Kalitelerinin Korunması." Turkish Journal of Agriculture - Food Science and Technology 6, no. 2 (March 3, 2018): 175. http://dx.doi.org/10.24925/turjaf.v6i2.175-182.1532.

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Not only cultural treatments in orchard but also postharvest handling affect the taste, shelf life and nutritional quality of organic fruits and vegetables. Organic crops are mostly harvested at ripe stage or close to ripen, thus, their shelf life is shorter and they are more perishable. Postharvest physiology and requests of crops should be considered during postharvest handling in order to maintain their high quality and prevent postharvest losses. The main aim in postharvest concept is to slow down the metabolism of fresh crops continue to live after harvest. The most important factor is temperature. The fruits and vegetables should be protected from high temperatures and cooled immediately after harvest. The cold chain should be kept until consumer. In addition, diseases can be prevented by controlling environment. Sanitation is another rule to consider. All these rules are important for all growers; however they are of special importance for organic horticulture which allows limited postharvest technologies. In this review, the allowed postharvest treatments of certificated organic fruits and vegetables are given. Preharvest factors, harvest, postharvest factors, cooling methods, cold storage, sanitation methods and products, ethylene and its control, and other specific postharvest subjects are discussed.
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11

Khatun, M., and MS Rahman. "Postharvest Loss Assessment of Tomato in Selected Locations of Bangladesh." Bangladesh Journal of Agricultural Research 45, no. 1 (June 5, 2022): 43–52. http://dx.doi.org/10.3329/bjar.v45i1.59837.

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Tomato is a very well-known horticultural crop in Bangladesh. In order to make tomato production profitable postharvest management is very important. The present study assessed tomato postharvest losses in four intensive growing sites of Jamalpur and Rangpur districts of Bangladesh. Farm level postharvest losses were measured through using descriptive and inferential statistics. Cobb- Douglas type multiple linear regression model was used to identify the factors affecting farm level tomato postharvest loss in the survey areas. Farm level postharvest loss of tomato was 12.45% per farm in the survey area. From this3.59% was due to partial damages and the rest 8.86% was for full damages of tomato. The major causes for postharvest loss of tomato were rotten, disease and insect infestation. This loss incurs financial loss at farm level by BDT 152.45 per decimal of tomato cultivation. Total harvested amount, family member and selling price were some of the important factors for tomato postharvest loss in the survey area. Wide practices of improved postharvest management practices are essential to reduce tomato postharvest loss in the survey area. Bangladesh J. Agril. Res. 45(1): 43-52, March 2020
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12

Nath, Bidhan, Guangnan Chen, Cherie M. O’Sullivan, and Dariush Zare. "Research and Technologies to Reduce Grain Postharvest Losses: A Review." Foods 13, no. 12 (June 14, 2024): 1875. http://dx.doi.org/10.3390/foods13121875.

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Reducing postharvest losses offers a significant opportunity to enhance food availability without requiring extra production resources. A substantial portion of cereal grain goes to waste annually due to a lack of science-based knowledge, unconscious handling practices, suboptimal technical efficiency, and inadequate infrastructure. This article extensively reviews losses occurring during postharvest operations across various crops, examining diverse postharvest operations in different countries. Recent advancements in postharvest technology research are thoroughly discussed. The primary obstacles and challenges hindering the adoption and implementation of postharvest technologies are also explored. The appropriate postharvest technology relies on specific factors, including the kind of crops, production locales, seasons, and existing environmental and socioeconomic conditions.
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13

Kumar, Salesh, and Steven J. R. Underhill. "Smallholder Farmer Perceptions of Postharvest Loss and Its Determinants in Fijian Tomato Value Chains." Horticulturae 5, no. 4 (November 1, 2019): 74. http://dx.doi.org/10.3390/horticulturae5040074.

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The Fiji Islands, like many small Pacific island nations, are thought to incur high rates of postharvest loss. Little work has been undertaken to quantify the amount of loss within Pacific horticultural value chains, or identify the key determinants. This study sought to quantify postharvest loss within Fijian smallholder tomato value chains and to examine the relative importance of current on-farm practices as possible contributors to this loss. A semi-structured survey of 115 smallholder tomato farmers in Sigatoka Valley and eastern Viti Levu was undertaken, covering socio-economic and demographic parameters, production and postharvest handling practice, and postharvest loss based on farmer recall. On-farm postharvest loss for smallholder farmer tomato value chains was between 26.1% in Sigatoka Valley and 27.6% in eastern Viti Levu. This finding was consistent with quantification of postharvest loss in Fijian tomato chains by direct determination, but is relatively high when compared to smallholder tomato value chain loss in Sub-Saharan Africa. When Fijian tomato value chains were segregated according to specific postharvest handling practice, the contributors to postharvest loss were often associated with on-farm decision-making. Those value chains that only harvested once a week, or in the early morning (before 7 am) or mid-day onwards, stored harvest product in the field for more than three hours, did not sort or grade prior to on-farm ripening, or used packing sheds that had relatively open designs, all had consistently higher levels of postharvest loss. The prevalence of specific postharvest handling practice in both locations is further reported. While this study highlights the impact of current on-farm postharvest handling practices on tomato value chain loss, what remain unclear are the underlying drivers associated with current postharvest handling behaviour and the decision-making that shapes quality and logistic control activities.
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14

Prange, Robert K., and Jennifer R. DeEll. "Preharvest Factors Affecting Postharvest Quality of Berry Crops." HortScience 30, no. 4 (July 1995): 751B—751. http://dx.doi.org/10.21273/hortsci.30.4.751b.

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Berry crops can include a wide variety of plant species, with the most important temperate North American species in the genera Fragaria, Rubus, and Vaccinium. The preharvest factors affecting the postharvest quality of berry crops can be divided into abiotic and biotic factors. Amongst the abiotic factors, mineral nutrition, especially calcium and nitrogen, water, temperature, and light play important roles in postharvest quality attributes such as size, color, firmness, acidity, and sweetness. Amongst the biotic factors, several postharvest pathogens, which are also present as preharvest pathogens, can cause very significant reductions in postharvest quality. Grey mold (Botrytis cinera) is considered to be the most important pre- and postharvest pathogen in berry crops, but other preharvest pathogens (e.g., Alternaria, Colletotrichum, and Rhizopus) can become major problems, depending on other preharvest factors. In some growing areas, the presence of fruit fly larvae in the fresh fruit reduces the postharvest quality. Other biotic factors can be more subtle in their effects on postharvest quality, such as cultivar, pruning, and pollination.
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15

Arah, Isaac Kojo, Harrison Amaglo, Ernest Kodzo Kumah, and Hayford Ofori. "Preharvest and Postharvest Factors Affecting the Quality and Shelf Life of Harvested Tomatoes: A Mini Review." International Journal of Agronomy 2015 (2015): 1–6. http://dx.doi.org/10.1155/2015/478041.

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Tomato production can serve as a source of income for most rural and periurban producers in most developing countries of the world. However, postharvest losses make its production unprofitable in these parts of the world. Postharvest losses in tomatoes can be as high as 42% globally. Postharvest losses in tomatoes can be either quantitative or qualitative. Even though emphasis in crop research nowadays is increasing shifting from quantity to quality of produce, there is still little improvement in the quality of commercially produced tomato varieties, hence resulting in high quality losses. From the study it was discovered that the postharvest quality status of tomatoes partly depended on some preharvest practices carried out during production. Some of these factors are fertiliser application, pruning, maturity stage, cultivar selection, and irrigation. Using best postharvest handling practices or factors such as temperature, relative humidity, gases in storage, postharvest calcium chloride application, and physical handling procedures to maintain the quality after harvest was also critical. It was concluded by this study that understanding and managing both preharvest and postharvest factors properly will reduce the postharvest quality losses in tomatoes.
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Underhill, Steven, Leeroy Joshua, and Yuchan Zhou. "A Preliminary Assessment of Horticultural Postharvest Market Loss in the Solomon Islands." Horticulturae 5, no. 1 (January 10, 2019): 5. http://dx.doi.org/10.3390/horticulturae5010005.

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Honiara’s fresh horticultural markets are a critical component of the food distribution system in Guadalcanal, Solomon Islands. Most of the population that reside in Honiara are now dependent on the municipal horticultural market and a network of smaller road-side markets to source their fresh fruits and vegetables. Potentially poor postharvest supply chain practice could be leading to high levels of postharvest loss in Honiara markets, undermining domestic food security. This study reports on a preliminary assessment of postharvest horticultural market loss and associated supply chain logistics at the Honiara municipal market and five road-side markets on Guadalcanal Island. Using vendor recall to quantify loss, we surveyed a total of 198 vendors between November 2017 and March 2018. We found that postharvest loss in the Honiara municipal market was 7.9 to 9.5%, and that road-side markets incurred 2.6 to 7.0% loss. Based on mean postharvest market loss and the incidence of individual vendor loss, Honiara’s road-side market system appears to be more effective in managing postharvest loss, compared to the municipal market. Postharvest loss was poorly correlated to transport distance, possibly due to the inter-island and remote intra-island chains avoiding high-perishable crops. Spatial mapping of postharvest loss highlighted a cohort of villages in the western and southern parts of the main horticultural production region (i.e., eastern Guadalcanal) with atypically high levels of postharvest loss. The potential importance of market-operations, packaging type, and mode of transport on postharvest market loss, is further discussed.
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17

Kou, Liping, Tianbao Yang, Xianjin Liu, and Yaguang Luo. "Effects of Pre- and Postharvest Calcium Treatments on Shelf Life and Postharvest Quality of Broccoli Microgreens." HortScience 50, no. 12 (December 2015): 1801–8. http://dx.doi.org/10.21273/hortsci.50.12.1801.

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We reported previously that the preharvest treatment of broccoli microgreens with 10 mmol·L−1 calcium chloride (CaCl2) increased the yield and postharvest quality. The objective of this study was to investigate whether other calcium forms have the similar effect, in particular, after postharvest dip in calcium solution. Our results are as follows: 1) Preharvest spray without postharvest dip: Both 20 mmol·L−1 calcium lactate (Ca lactate) and calcium amino acid (Ca AA) chelate significantly improved broccoli microgreens quality and inhibited microbial populations as compared with the water-only control during storage at 5 °C for 21 days. However, they were less effective than 10 mmol·L−1 CaCl2. 2) Postharvest dip without preharvest spray: The microgreens sprayed with water-only control were dipped in 0, 25, 50, or 100 mmol·L−1 Ca lactate solution containing 100 μL·L−1 chlorine immediately after harvest. During storage at 5 °C for 14 days, 50 mmol·L−1 Ca lactate dip showed the highest overall quality and lowest tissue electrolyte leakage. 3) Preharvest spray and postharvest dip: Combined preharvest 10 mmol·L−1 CaCl2 spray and postharvest 50 mmol·L−1 Ca lactate dip resulted in better postharvest quality than individual pre- or postharvest calcium treatments. However, the preharvest 10 mmol·L−1 CaCl2 spray without postharvest dip displayed a best overall visual quality and longest storage life. Our data indicate that pre- and postharvest calcium treatments have positive effect on maintaining the microgreens quality and extending shelf life. However, current postharvest dip/spinning/drying method profoundly reduces the shelf life due to mechanical damages. Technologies to optimize microgreens wash are needed to provide ready-to-eat product. Alternatively, the wash step can be avoided when the microgreens are grown under controlled settings.
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18

Boyette, M. D., D. F. Ritchie, S. J. Carballo, S. M. Blankenship, and D. C. Sanders. "Chlorination and Postharvest Disease Control." HortTechnology 3, no. 4 (October 1993): 395–400. http://dx.doi.org/10.21273/horttech.3.4.395.

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A significant portion of harvested produce never reaches the consumer due to, postharvest diseases. Various chemicals have been used to reduce the incidence of postharvest diseases. Many of these materials have been removed from the market in recent years due to economic, environmental, or health concerns. Although somewhat limited in the range of diseases controlled, chlorination is effective when combined with proper postharvest handling practices. Additionally, it is a relatively inexpensive postharvest disease control method that poses little threat to health or the environment. The proper use of chlorination in the management of postharvest diseases in fresh fruits and vegetables is discussed.
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19

Treiber, Erin L., Laise S. Moreira, and Matthew D. Clark. "Postharvest Potential of Cold-hardy Table Grapes." HortScience 57, no. 10 (October 2022): 1242–48. http://dx.doi.org/10.21273/hortsci16642-22.

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The University of Minnesota Grape Breeding Program has developed cold-hardy wine grape cultivars that have facilitated the establishment of an economically important grape industry for the Midwest region. In recent years, the program has renewed efforts to breed cold-hardy table grapes. Table grapes might require postharvest storage if they are to be transported or stored for any period of time. Rachis dehydration, berry splitting, and decay can affect the postharvest quality of table grapes. In this study, we evaluated these postharvest traits in six released cultivars and nine advanced selections in the breeding program. For two growing seasons, we used industry standard packaging to assess postharvest traits (rachis dehydration, berry splitting, decay, and overall acceptability) at 2, 4, and 6 weeks of cold storage at 2.2 °C. The growing season had a significant effect on postharvest traits; therefore, the two were examined separately. There were significant differences in postharvest storage times for all traits, except berry splitting in 2020. Mean rachis dehydration reached unacceptable values (>3) after 4 weeks of postharvest storage in 2019 and after 6 weeks in 2020. All other trait means remained acceptable for many cultivars even after 6 weeks of postharvest storage. Advanced selections performed at and above the level of released cultivars, suggesting that selections will perform well in cold-hardy regions. The data collected regarding fruit quality and postharvest storage for two seasons will help to inform and improve breeding of cold-hardy grape cultivars.
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20

Schroeder, Kenneth R., and Dennis P. Stimart. "Heritability of Postharvest Longevity of Antirrhinum majus." HortScience 33, no. 3 (June 1998): 473b—473. http://dx.doi.org/10.21273/hortsci.33.3.473b.

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Breeding for postharvest longevity of cut flowers has not been done to any great extent in spite of the potential benefits from reduced chemical preservative usage and increased popularity of cuts due to longer vaselife. Some studies have reported broad-sense heritabilities for postharvest longevity of 36% to 46% and narrow-sense heritabilities of 0% to 38%. Postharvest longevity of cut flowers of Antirrhinum majus L. (snapdragon) inbreds range from 2 to 16 d with the F1 hybrids intermediate at 8.1 d when evaluated in deionized water. It would appear postharvest longevity of snapdragon cut flowers should be a selectable trait. In an effort to determine narrow-sense heritability for postharvest longevity of snapdragon cut flowers, a generation means analysis was established using single-seed descent S4 generation inbreds with postharvest longevities of 2 and 15 d. Plants were grown in greenhouses at the Univ. of Wisconsin, Madison, in August and harvested in Nov. 1997 for postharvest evaluation. Experimental design was a randomized complete block with 2 environments and 3 replications. Nonsegregating generations (P1, P2, and F1) consisted of 10 plants per replication, backcrosses 30 plants per replication, and the F2 with 60 plants per replication. Data will be presented on narrow-sense heritability of postharvest longevity of snapdragon cut flowers.
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21

Gast, Karen L. B. "Postharvest Evaluation of Fresh Cut Sunflower Cultivars." HortScience 31, no. 4 (August 1996): 637b—637. http://dx.doi.org/10.21273/hortsci.31.4.637b.

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Specialty cut flowers are gaining a greater market share of the floral industry. One species that seems to be losing its fad status and again becoming a market mainstay are sunflowers. In response to that demand seed companies are introducing new sunflower cultivars. Little work has been done to evaluate and compare the postharvest life of these new cultivars. A study was conducted Summer 1995 to determine the postharvest life of several cultivars using both water and floral preservatives. Less than half of the cultivars evaluated had an acceptable commercial postharvest life when only water was used. When fresh flower preservatives were used only three of the cultivars evaluated had an unacceptable postharvest life. The addition of floral preservatives significantly increased the postharvest life of more than a third of the cultivars evaluated, but only two thirds of those had their postharvest life increased into the acceptable range. Cultivars found to have an acceptable postharvest life include a wide variety of colors, plant heights and pollenless flowers, giving the grower a wide choice of cultivars for commercial production.
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Obayelu, Oluwakemi Adeola, David Olusegun Dairo, and Olukemi Olumuyiwa Olowe. "What Factors Explain Postharvest Losses of Orange Fruit (Citrus sinensis) from Farm to Fork in the Tropics?" Agricultura 19, no. 1 (June 19, 2022): 7–15. http://dx.doi.org/10.18690/agricultura.19.1.7-15.2022.

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Demand for citrus fruit has increased over the years in Nigeria. However, post-harvest loss of tropical fruits is high in developing nations owing to poor handling and storage facilities along the supply chain. The study therefore assessed levels and correlates of postharvest losses of fresh oranges along the orange supply chain. Primary data collected from marketers and producers of orange were analysed using descriptive statistics and ordered logit. Orange farming was dominated by male (68.4%) while orange marketing was dominated by females. Most of the producers (63.16%) and wholesalers (65.38%) experienced postharvest loss of 6-10%, while 46.79% of the retailers experience a postharvest loss of less than 5%. Being a male farmer that harvested oranges in the afternoon increased the likelihood of postharvest losses among the farmers while having a large household size reduced it. However, education, smallholding marketing and use of storage facilities reduced the likelihood of postharvest loss among orange marketers. Postharvest training for farmers and marketers on fruit harvesting and storage methods will help to minimise postharvest loss from producers to retailers.
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Arista Pradnyani, Luh Gede, Bambang Admadi Harsojuwono, and I. Wayan Gede Sedana Yoga. "Perbaikan Penanganan Pascapanen Asparagus (Asparagus officinalis) dari Petani di Kecamatan Petang hingga Pengecer di Denpasar." JURNAL REKAYASA DAN MANAJEMEN AGROINDUSTRI 7, no. 4 (December 23, 2019): 521. http://dx.doi.org/10.24843/jrma.2019.v07.i04.p04.

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The aim of this study were to determine the number of asparagus distribution lines and types of distribution, find out the impact of postharvest handling and to determine the impact of improvements postharvest on asparagus damage from farmers in Petang district to retailers in Denpasar. Postharvest improvements in this study by replacing the packaging using styrofoam box and placing the asparagus vertically. There are three lines in the distribution of asparagus. The first line (Farmers ? Cooperative ? Suppliers ? Retailer ? Consumer), line II (Farmer ? Middleman ? Suppliers ? Retailer ? Consumer) and line III (Farmer ? Middleman ? Suppliers ? Consumer). Postharvest handling includes harvesting, cleaning, cutting, sorting, grading, binding, storage, packaging, distribution and displaying. The impact of handling postharvest loss in the sorting stage at the farmers level is 2.5% (non significant), cooperative level is 1.8% (non significant), middleman level is 4% (insignificant), supplier level is 5.4% (significant) and retailers level is 6.69% (significant). Postharvest improvement by changing the packaging could reduce the level defect of asparagus to 7.81%. Keywords: asparagus, styrofoam packaging, CSAM, postharvest handling, improvements
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24

Martin, William J., and Dennis P. Stimart. "080 Postharvest Longevity Analysis of Advance Generations in Antirrhinum majus L." HortScience 34, no. 3 (June 1999): 455A—455. http://dx.doi.org/10.21273/hortsci.34.3.455a.

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Cut flowers of Antirrhinum majus L. (snapdragon) P1, P2, F1, F3, and F2 × F2 plants were harvested after the first five flowers were open and were evaluated for postharvest longevity to further evaluate genes conditioning postharvest longevity. F3 progeny evaluated were derived by selfing F2 selections of long keeping, mid-range, and short keeping types. F2 × F2 progeny evaluated were derived from crosses within and between postharvest longevity categories. Populations for evaluation were grown in the greenhouse in winter 1998-1999 in a randomized complete-block design according to standard forcing procedures. Thirty plants of each genotype were held in the laboratory in deionized water under continuous fluorescent lighting at 22 °C for postharvest assessment. The end of postharvest life was defined as 50% of the flowers drying, browning, or wilting. Data will be presented on postharvest longevity and allelic relationships within populations.
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25

Mukai, Margret Kyoko. "Postharvest Research in a Developing Country: A View From Brazil." HortScience 22, no. 1 (February 1987): 7–9. http://dx.doi.org/10.21273/hortsci.22.1.7.

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Abstract Despite the goal set in 1975 by the Seventh Special Session of the U.N. General Assembly for a 50% reduction in postharvest losses to be achieved by 1985, little postharvest horticultural research has been published by lesser developed countries (LDCs), where losses are assumed to be high (7, 9, 12). An exception is the work of the ASEAN Postharvest Horticulture Training and Research Center in the Philippines. Interest in postharvest research, however, runs keen among LDC researchers. A recent survey of foreign alumni of the Dept. of Horticulture at Michigan State Univ. showed that the course most cited as the one they “would take today” was postharvest physiology (1).
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26

Gathungu, Geofrey, Moses Gachoka Wainaina, Shelmith Wanja Munyiri, Dave Mwangi Ireri, and David Mwangi Kihoro. "Determinants of Choice of Postharvest Practices in Mango and Passion Fruit Loss Management in Selected Counties of Kenya." Journal of Innovative Agriculture and Social Development 3, no. 1 (March 25, 2025): 19–32. https://doi.org/10.57095/jiasd20243132.

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Mango and passion fruits are highly perishable and despite the gains in their production, postharvest loss management remain a major challenge. This study therefore sought to identify the determinants of choice of postharvest practices in postharvest loss management of mango and passion fruit in Makueni, Machakos, Embu, Uasin Gishu and Trans-Nzoia Counties. Descriptive cross-sectional design was used on a target population of 18750 smallholder mango and passion fruit households to get a sample size of 402 households through cluster random sampling. The study considered storage location, packaging materials, vehicle transport, store type and cleanliness of the harvest equipment as the postharvest practices. Multivariate probit model was utilised in the analysis of the determinants of the postharvest practices’ choices. Age, years of schooling, group membership, access to electricity, access to bank account and internet had a positive and significant effect on the choice of postharvest practices. Gender, access to agricultural training, credit access and off-farm income had a negative significant effect on postharvest practices choices. Increased involvement of men in the postharvest stage lowered the adoption of proper choice of transport and handling of fruit produce by 62%. Agricultural training had a negative and significant effect on the choice of store (p=0.059<0.1) and the choice of vehicle transport (p=0.000<0.01) for the harvested produce. The multivariate analysis showed that agricultural training accessed is associated with 78.6% decrease of the farmers with proper vehicle transport and 34.1% decrease on store type utilized for harvested produce. The model showed that 88.7% of the farmers accessed credit for other farming needs other than postharvest loss management. The findings show that agricultural training offered focuses more on increasing production and farmers channel more of their income and credit to production and very little to postharvest management. It is recommended that National and County Departments offering agricultural training to mango and passion fruit farmers should emphasize not only on fruit production practices but also on postharvest loss management. Farmers need also to invest not only on increasing fruit production but also on postharvest management.
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27

Crisosto, C. H., L. Ferguson, and J. Rodriguez-Bermejo. "EMERGING POSTHARVEST TECHNOLOGIES." Acta Horticulturae, no. 1079 (March 2015): 47–52. http://dx.doi.org/10.17660/actahortic.2015.1079.3.

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28

Lurie, Susan. "Postharvest heat treatments." Postharvest Biology and Technology 14, no. 3 (November 1998): 257–69. http://dx.doi.org/10.1016/s0925-5214(98)00045-3.

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29

Chen, Guangnan, John A. Anderson, Paul Bannister, and C. Gerald Carrington. "PH—Postharvest Technology." Biosystems Engineering 81, no. 1 (January 2002): 73–83. http://dx.doi.org/10.1006/bioe.2001.0001.

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30

Giner, Sergio A., and Rodolfo H. Mascheroni. "PH—Postharvest Technology." Biosystems Engineering 81, no. 1 (January 2002): 85–97. http://dx.doi.org/10.1006/bioe.2001.0004.

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31

Pabis, S., and M. Jaros. "PH—Postharvest Technology." Biosystems Engineering 81, no. 2 (February 2002): 201–11. http://dx.doi.org/10.1006/bioe.2001.0015.

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32

Studman, C. J., and M. Geyer. "PH—Postharvest Technology." Biosystems Engineering 82, no. 1 (May 2002): 65–72. http://dx.doi.org/10.1006/bioe.2001.0022.

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33

Chua, K. J., S. K. Chou, M. N. A. Hawlader, A. S. Mujumdar, and J. C. Ho. "PH—Postharvest Technology." Biosystems Engineering 81, no. 1 (January 2002): 99–111. http://dx.doi.org/10.1006/bioe.2001.0026.

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34

De Belie, N., F. R. Harker, and J. De Baerdemaeker. "PH—Postharvest Technology." Biosystems Engineering 81, no. 3 (March 2002): 297–303. http://dx.doi.org/10.1006/bioe.2001.0027.

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Akubuo, C. O., and B. E. Eje. "PH—Postharvest Technology." Biosystems Engineering 81, no. 2 (February 2002): 193–99. http://dx.doi.org/10.1006/bioe.2001.0029.

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36

Tabak, S. I., A. B. Biran, I. Tabak, and G. Manor. "PH—Postharvest Technology." Biosystems Engineering 81, no. 4 (April 2002): 395–405. http://dx.doi.org/10.1006/bioe.2001.0037.

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37

Peirs, Ann, Nico Scheerlinck, Kathleen Touchant, and Bart M. Nicolaı̈. "PH—Postharvest Technology." Biosystems Engineering 81, no. 3 (March 2002): 305–11. http://dx.doi.org/10.1006/bioe.2001.0040.

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Jha, S. N., T. Matsuoka, and K. Miyauchi. "PH—Postharvest Technology." Biosystems Engineering 81, no. 4 (April 2002): 407–12. http://dx.doi.org/10.1006/bioe.2002.0044.

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Olaniyan, A. M., and K. Oje. "PH—Postharvest Technology." Biosystems Engineering 81, no. 4 (April 2002): 413–20. http://dx.doi.org/10.1006/bioe.2002.0049.

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Deshpande, S. D., S. Sokhansanj, and J. Irudayaraj. "PH—Postharvest Technology." Biosystems Engineering 82, no. 1 (May 2002): 79–86. http://dx.doi.org/10.1006/bioe.2002.0051.

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Konak, M., K. Çarman, and C. Aydin. "PH—Postharvest Technology." Biosystems Engineering 82, no. 1 (May 2002): 73–78. http://dx.doi.org/10.1006/bioe.2002.0053.

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42

Aydin, C., H. Ö ǧ, and M. Konak. "PH—Postharvest Technology." Biosystems Engineering 82, no. 2 (June 2002): 231–34. http://dx.doi.org/10.1006/bioe.2002.0062.

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Aydin, C. "PH—Postharvest Technology." Biosystems Engineering 82, no. 3 (July 2002): 297–303. http://dx.doi.org/10.1006/bioe.2002.0065.

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Yang, W., S. Sokhansanj, J. Tang, and P. Winter. "PH—Postharvest Technology." Biosystems Engineering 82, no. 2 (June 2002): 169–76. http://dx.doi.org/10.1006/bioe.2002.0066.

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45

Barchi, G. L., A. Berardinelli, A. Guarnieri, L. Ragni, and C. Totaro Fila. "PH—Postharvest Technology." Biosystems Engineering 82, no. 3 (July 2002): 305–12. http://dx.doi.org/10.1006/bioe.2002.0067.

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46

Mandas, N., and M. Habte. "PH—Postharvest Technology." Biosystems Engineering 82, no. 3 (July 2002): 313–19. http://dx.doi.org/10.1006/bioe.2002.0075.

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47

Moreno, R., and R. Rios. "PH—Postharvest Technology." Biosystems Engineering 82, no. 3 (July 2002): 321–29. http://dx.doi.org/10.1006/bioe.2002.0077.

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48

Kaleemullah, S., and J. John Gunasekar. "PH—Postharvest Technology." Biosystems Engineering 82, no. 3 (July 2002): 331–38. http://dx.doi.org/10.1006/bioe.2002.0079.

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Jayas, D. S., and S. Jeyamkondan. "PH—Postharvest Technology." Biosystems Engineering 82, no. 3 (July 2002): 235–51. http://dx.doi.org/10.1006/bioe.2002.0080.

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Nimkar, P. M., and P. K. Chattopadhyay. "PH—Postharvest Technology." Biosystems Engineering 82, no. 4 (August 2002): 407–14. http://dx.doi.org/10.1006/bioe.2002.0085.

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