Exploration of Climate Change Effects on Shifting Potato Seasons, Yields and Water Use Employing NASA and National Long-Term Weather Data

Yağız, Ayten Kübra; Cakici, Mustafa; Aydoğan, Nazlıcan; Ömezli, Seher; Yerlikaya, Bayram Ali; Ayten, Sefa; Maqbool, Amir; Haverkort, A. J.

doi:10.1007/s11540-020-09457-x

Cited by 13 publications

(3 citation statements)

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“…Hoffman and Kenter (2018), reported that RUE is one of the most important parameters to achieve potential yield in sugar beet, and with optimum RUE, a potential yield of 24 t ha -1 can be reached under Germany conditions. Yagiz et al (2020) reported a 42% increase in potential potato yield under Konya conditions with the increase of RUE.…”

Section: Resultsmentioning

confidence: 96%

Simulating the Yield Responses of Sugar Beet to Different Climate Change Scenarios by LINTUL-MULTICROP Model

Yetik

Kızıldeniz

Ünal

2023

Black Sea Journal of Engineering and Science

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Sugar beet is an essential crop for the sugar industry that have a very crucial role in agro-industry of Turkey and Konya is the leading city in the amount of total sugar beet production and harvested area. The predictions, that the world's human population will reach 9 billion by the end of the current century and that demand for food will increase, are forcing farmers for the decision to search for new areas for agriculture or choose the crops that will be most productive in already cultivated lands. The aim of this study was applied the LINTUL-MULTICROP Model for investigating the adaption of sugar beet for the current climatic conditions and for climate change scenarios to show response of sugar beet to an increase of carbon dioxide and temperature. Four different scenarios were compared the effects of the climate change on sugar beet farming in the semi-arid Konya Region as followings: i) scenario (a) is the current climate conditions; ii) scenario (b) is the average temperatures increased 2 °C, iii) scenario (c) is 200 ppm increasing atmospheric CO2; iv) scenario (d) new optimum sowing and harvest dates in sugar beet farming and increased temperatures and atmospheric CO2 amount were simulated together. The optimum sowing and harvesting dates of sugar beet were moved 13 days back for sowing, and 8 days forward for harvesting. The highest yield was estimated under conditions of 2 °C and 200 ppm increased atmosphere temperature and CO2 levels with new sowing and harvest dates. The yields under irrigated conditions varied between 74.4 t ha-1 and 111.2 t ha-1. The irrigation water requirements of sugar beet were ranged from 618.8 mm to 688.5 for different scenarios. In conclusion, the cultivation of sugar beet tends to alter in semi-arid Konya environment.

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Section: Resultsmentioning

confidence: 96%

Simulating the Yield Responses of Sugar Beet to Different Climate Change Scenarios by LINTUL-MULTICROP Model

Yetik

Kızıldeniz

Ünal

2023

Black Sea Journal of Engineering and Science

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“…Assessing the impact of climate change on potato growth and yield is beneficial for selecting the most suitable varieties and management strategies under climate change conditions. However, the impact of climate change on potato production varies due to differences in cultivation areas, growing seasons, and cultivation management practices ( Bender and Sentelhas, 2020 ; Yagiz et al., 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Methodological evolution of potato yield prediction: a comprehensive review

Lin,

Li,

Duan

et al. 2023

Front. Plant Sci.

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Timely and accurate prediction of crop yield is essential for increasing crop production, estimating planting insurance, and improving trade benefits. Potato (Solanum tuberosum L.) is a staple food in many parts of the world and improving its yield is necessary to ensure food security and promote related industries. We conducted a comprehensive literature survey to demonstrate methodological evolution of predicting potato yield. Publications on predicting potato yield based on methods of remote sensing (RS), crop growth model (CGM), and yield limiting factor (LF) were reviewed. RS, especially satellite-based RS, is crucial in potato yield prediction and decision support over large farm areas. In contrast, CGM are often utilized to optimize management measures and address climate change. Currently, combined with the advantages of low cost and easy operation, unmanned aerial vehicle (UAV) RS combined with artificial intelligence (AI) show superior potential for predicting potato yield in precision management of large-scale farms. However, studies on potato yield prediction are still limited in the number of varieties and field sample size. In the future, it is critical to employ time-series data from multiple sources for a wider range of varieties and large field sample sizes. This study aims to provide a comprehensive review of the progress in potato yield prediction studies and to provide a theoretical reference for related research on potato.

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“…Climate researchers predict that an increase in CO 2 concentration will lead to an increase in the efficiency of using solar radiation, which can contribute to the growth of potential yields in some regions (George et al, 2017;Rana et al, 2020). However, increased heat and drought, which will be observed in areas with insufficient hydrological supply, will cause increased stress in plants and reduce their productivity (Yagiz et al, 2020;Muhie, 2022).…”

Section: Introductionmentioning

confidence: 99%

Untitled

2023

Scientific Horizons

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Свідоцтво про державну реєстрацію друкованого засобу масової інформації серії КВ № 24997-14937 ПР Науковий журнал включено до категорії А Переліку наукових фахових видань України, у яких можуть публікуватися результати дисертаційних робіт на здобуття наукових ступенів доктора та кандидата ветеринарних, економічних, сільськогосподарських і технічних наук зі спеціальностей: 051 -Економіка; 071 -Облік і оподаткування; 072 -Фінанси, банківська справа та страхування; 073 -Менеджмент; 075 -Маркетинг; 076 -Підприємництво, торгівля та біржова діяльність; 101 -Екологія; 133 -Галузеве машинобудування; 201 -Агрономія; 202 -Захист і карантин рослин; 203 -Садівництво та виноградарство; 204 -Технологія виробництва і переробки продукції тваринництва; 205 -Лісове господарство; 206 -Садово-паркове господарство; 208 -Агроінженерія; 211 -Ветеринарна медицина (наказ МОН України № 1166 від 23 грудня 2022 р.) Журнал представлено у міжнародних наукометричних базах даних, репозитаріях та пошукових системах: Інституційний репозитарій Поліського національного університету, AGRICOLA, CAB Abstracts and Global Health (CABI), Open Academic Journals Index (OAJI), Scopus, Index Copernicus, Реєстр наукових видань України, Національна бібліотека України імені В. І. Вернадського, Crossref, Directory of Open Access Journals (DOAJ) Адреса редакції: Поліський національний університет б-р Старий,

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Exploration of Climate Change Effects on Shifting Potato Seasons, Yields and Water Use Employing NASA and National Long-Term Weather Data

Cited by 13 publications

References 15 publications

Simulating the Yield Responses of Sugar Beet to Different Climate Change Scenarios by LINTUL-MULTICROP Model

Simulating the Yield Responses of Sugar Beet to Different Climate Change Scenarios by LINTUL-MULTICROP Model

Methodological evolution of potato yield prediction: a comprehensive review

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