Revealing the determinants of wheat yields in the Siberian breadbasket of Russia with Bayesian networks

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Standard

Revealing the determinants of wheat yields in the Siberian breadbasket of Russia with Bayesian networks. / Prishchepov, Alexander V.; Ponkina, Elena; Sun, Zhanli; Müller, Daniel.

I: Land Use Policy, Bind 80, 2019, s. 21-31.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Prishchepov, AV, Ponkina, E, Sun, Z & Müller, D 2019, 'Revealing the determinants of wheat yields in the Siberian breadbasket of Russia with Bayesian networks', Land Use Policy, bind 80, s. 21-31. https://doi.org/10.1016/j.landusepol.2018.09.038

APA

Prishchepov, A. V., Ponkina, E., Sun, Z., & Müller, D. (2019). Revealing the determinants of wheat yields in the Siberian breadbasket of Russia with Bayesian networks. Land Use Policy, 80, 21-31. https://doi.org/10.1016/j.landusepol.2018.09.038

Vancouver

Prishchepov AV, Ponkina E, Sun Z, Müller D. Revealing the determinants of wheat yields in the Siberian breadbasket of Russia with Bayesian networks. Land Use Policy. 2019;80:21-31. https://doi.org/10.1016/j.landusepol.2018.09.038

Author

Prishchepov, Alexander V. ; Ponkina, Elena ; Sun, Zhanli ; Müller, Daniel. / Revealing the determinants of wheat yields in the Siberian breadbasket of Russia with Bayesian networks. I: Land Use Policy. 2019 ; Bind 80. s. 21-31.

Bibtex

@article{d85889d51e36461c92cd18615cd26294,
title = "Revealing the determinants of wheat yields in the Siberian breadbasket of Russia with Bayesian networks",
abstract = "Higher crop yields are critical to satisfy the rising global food demand. Russia holds untapped potential for increasing agricultural production because current grain yields are often far below the potentially attainable yields. Western Siberia is an important breadbasket in Russia, where wheat yields fall particularly short of their potential. Our goal was to assess the determinants of yield variations among farmers in the province of Altai Krai in Western Siberia. We conducted 67 structured in-person interviews with corporate farm managers and individual farmers about the potential determinants of wheat yields and complemented these data with 149 additional observations obtained from the provincial agricultural extension service. We used Bayesian networks (BNs) to represent the relationships between the explanatory parameters and contemporary wheat yields and to examine qualitative future scenarios of future yields. The results revealed higher yields on larger farms than on medium and small farms. Our results corroborated that the application of fertilizers and herbicides and the implementation of new equipment had large positive impacts on the yields. The scenario of higher future production costs and lower precipitation resulted in a yield reduction from 7.6 dt/ha to 5.3. Overall, our results suggest that policies aimed at increasing wheat yields should concentrate on the education of farmers and encourage higher input applications, particularly for small-scale farms. Additionally, policies should address concurrent challenges, such as a higher drought frequency, through the application of new equipment, seed material and tillage practices.",
keywords = "Bayesian belief network, Food security, Land-use intensity, Russia, Scenario analysis, Wheat production, Yield gap",
author = "Prishchepov, {Alexander V.} and Elena Ponkina and Zhanli Sun and Daniel M{\"u}ller",
year = "2019",
doi = "10.1016/j.landusepol.2018.09.038",
language = "English",
volume = "80",
pages = "21--31",
journal = "Land Use Policy",
issn = "0264-8377",
publisher = "Pergamon Press",

}

RIS

TY - JOUR

T1 - Revealing the determinants of wheat yields in the Siberian breadbasket of Russia with Bayesian networks

AU - Prishchepov, Alexander V.

AU - Ponkina, Elena

AU - Sun, Zhanli

AU - Müller, Daniel

PY - 2019

Y1 - 2019

N2 - Higher crop yields are critical to satisfy the rising global food demand. Russia holds untapped potential for increasing agricultural production because current grain yields are often far below the potentially attainable yields. Western Siberia is an important breadbasket in Russia, where wheat yields fall particularly short of their potential. Our goal was to assess the determinants of yield variations among farmers in the province of Altai Krai in Western Siberia. We conducted 67 structured in-person interviews with corporate farm managers and individual farmers about the potential determinants of wheat yields and complemented these data with 149 additional observations obtained from the provincial agricultural extension service. We used Bayesian networks (BNs) to represent the relationships between the explanatory parameters and contemporary wheat yields and to examine qualitative future scenarios of future yields. The results revealed higher yields on larger farms than on medium and small farms. Our results corroborated that the application of fertilizers and herbicides and the implementation of new equipment had large positive impacts on the yields. The scenario of higher future production costs and lower precipitation resulted in a yield reduction from 7.6 dt/ha to 5.3. Overall, our results suggest that policies aimed at increasing wheat yields should concentrate on the education of farmers and encourage higher input applications, particularly for small-scale farms. Additionally, policies should address concurrent challenges, such as a higher drought frequency, through the application of new equipment, seed material and tillage practices.

AB - Higher crop yields are critical to satisfy the rising global food demand. Russia holds untapped potential for increasing agricultural production because current grain yields are often far below the potentially attainable yields. Western Siberia is an important breadbasket in Russia, where wheat yields fall particularly short of their potential. Our goal was to assess the determinants of yield variations among farmers in the province of Altai Krai in Western Siberia. We conducted 67 structured in-person interviews with corporate farm managers and individual farmers about the potential determinants of wheat yields and complemented these data with 149 additional observations obtained from the provincial agricultural extension service. We used Bayesian networks (BNs) to represent the relationships between the explanatory parameters and contemporary wheat yields and to examine qualitative future scenarios of future yields. The results revealed higher yields on larger farms than on medium and small farms. Our results corroborated that the application of fertilizers and herbicides and the implementation of new equipment had large positive impacts on the yields. The scenario of higher future production costs and lower precipitation resulted in a yield reduction from 7.6 dt/ha to 5.3. Overall, our results suggest that policies aimed at increasing wheat yields should concentrate on the education of farmers and encourage higher input applications, particularly for small-scale farms. Additionally, policies should address concurrent challenges, such as a higher drought frequency, through the application of new equipment, seed material and tillage practices.

KW - Bayesian belief network

KW - Food security

KW - Land-use intensity

KW - Russia

KW - Scenario analysis

KW - Wheat production

KW - Yield gap

U2 - 10.1016/j.landusepol.2018.09.038

DO - 10.1016/j.landusepol.2018.09.038

M3 - Journal article

AN - SCOPUS:85054159611

VL - 80

SP - 21

EP - 31

JO - Land Use Policy

JF - Land Use Policy

SN - 0264-8377

ER -

ID: 204182868