Zobrazeno 1 - 5
of 5
pro vyhledávání: '"W. Donald Shurley"'
Publikováno v:
Journal of Agricultural and Applied Economics. 45:719-737
Using principal component analysis, a climate index is developed to estimate the linkage between climate and crop yields. The indices based on three climate projections are then applied to forecast future crop yield responses. We identify spatial het
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::022f85064649006f1c1aa3c1d61303c1
https://doi.org/10.1017/s1074070800005228
https://doi.org/10.1017/s1074070800005228
Autor:
Michael D. Toews, W. Donald Shurley
Publikováno v:
Journal of economic entomology. 102(4)
Phytophagous stink bugs (Hemiptera: Pentatomidae), including green stink bug [Acrosternum hilare (Say)], southern green stink bug [Nezara viridula (L.)], and brown stink bug [Euschistus servus (Say)], have become a serious production issue for southe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea7e9d3b554f4ad7efe1f12a6417ae27
https://pubmed.ncbi.nlm.nih.gov/19736764
https://pubmed.ncbi.nlm.nih.gov/19736764
Harvest timeliness is a continual problem in the rotation of cotton and peanuts. Efficient allocation of land and labor resources during production of cotton and peanuts requires decisions be made on allocating resources throughout the growing season
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08e61ac0384466f4b53868f02061d2d2
http://purl.umn.edu/43736
http://purl.umn.edu/43736
Autor:
W. Robert Goodman, Michele C. Marra, W. Donald Shurley, James A. Larson, Rebecca L. Cochran, Sherry L. Larkin, Roland K. Roberts, Jeanne M. Reeves, Steven W. Martin, Burton C. English
Probit analysis identified factors that influence the adoption of precision farming technologies by Southeastern cotton farmers. Younger, more educated farmers who operated larger farms and were optimistic about the future of precision farming were m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37776459bfcc9938a4e39fd687450d3f
http://purl.umn.edu/42943
http://purl.umn.edu/42943
Genetically modified cotton varieties have the potential for increasing returns and/or decreasing labor requirements. A nonlinear optimization model is applied to a whole farm analysis for evaluating cotton production technologies. This model maximiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1ee78c4827ee46600fb354a2adce245
http://purl.umn.edu/43204
http://purl.umn.edu/43204