Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Vijaya R. Joshi"'
Autor:
Vijaya R. Joshi, Kelly R. Thorp, Jeffrey A. Coulter, Gregg A. Johnson, Paul M. Porter, Jeffrey S. Strock, Axel Garcia y Garcia
Publikováno v:
Agronomy, Vol 9, Iss 11, p 719 (2019)
Integrating remote sensing data into crop models offers opportunities for improved crop yield estimation. To compare site-specific yield estimation accuracy of a stand-alone crop model with a data-integration approach, a study was conducted in 2016
Externí odkaz:
https://doaj.org/article/9713ae71ec494662a7a9c5ea18941f11
Publikováno v:
International Journal of Biometeorology
Weather conditions regulate the growth and yield of crops, especially in rain-fed agricultural systems. This study evaluated the use and relative importance of readily available weather data to develop yield estimation models for maize and soybean in
Publikováno v:
Irrigation Science. 36:319-328
With water resources becoming more limited in arid and semi-arid regions, water-saving strategies are needed to reduce agricultural water use. A furrow-irrigated field experiment was conducted during 3 years (2010–2012) in the western US to evaluat
Publikováno v:
Journal of Agronomy and Crop Science. 203:301-308
Adjustments on planting date and on the time to terminate irrigation may reduce agricultural water use. However, such management practices in regions with extreme weather conditions have the potential to negatively affect yield. A 3-year (2012–2014
Autor:
Jeffrey A. Coulter, Kelly R. Thorp, Axel Garcia y Garcia, Paul M. Porter, Vijaya R. Joshi, Gregg A. Johnson, Jeffrey S. Strock
Publikováno v:
Agronomy
Volume 9
Issue 11
Agronomy, Vol 9, Iss 11, p 719 (2019)
Volume 9
Issue 11
Agronomy, Vol 9, Iss 11, p 719 (2019)
Integrating remote sensing data into crop models offers opportunities for improved crop yield estimation. To compare site-specific yield estimation accuracy of a stand-alone crop model with a data-integration approach, a study was conducted in 2016&n
Publikováno v:
Journal of bacteriology. 110(3)
To determine the molecular basis of transformation defects in Haemophilus influenzae , the fate of genetically marked, 32 P-labeled, heavy deoxyribonucleic acid (DNA) was examined in three mutant strains ( rec 1 − , rec 2 − , and KB6) and in wild