Zobrazeno 1 - 10
of 168
pro vyhledávání: '"David J. Mulla"'
Publikováno v:
Agronomy, Vol 14, Iss 4, p 693 (2024)
One of the challenges in site-specific phosphorus (P) management is the substantial spatial variability in plant available P across fields. To overcome this barrier, emerging sensing, data fusion, and spatial predictive modeling approaches are needed
Externí odkaz:
https://doaj.org/article/318c01a7775640ddb7002ce42db0f13c
Publikováno v:
Frontiers in Agronomy, Vol 5 (2023)
Several newly released crop varieties, including the perennial intermediate wheatgrass (grain marketed as Kernza®), and the winter hardy oilseed crop camelina, have been developed to provide both economic return for farmers and reduced nutrient loss
Externí odkaz:
https://doaj.org/article/0a203208819b4b55bc80be26b6d82862
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 7 (2023)
Perennial grain crops are a potential alternative source of staple foods and animal forage that can also provide additional environmental benefits over annual crops. Intermediate wheatgrass (IWG; Thinopyrum intermedium) is a new perennial dual-use cr
Externí odkaz:
https://doaj.org/article/a5d0be784bc64b1faf6e0ca7155c8ffa
Autor:
Tajamul Hussain, David J. Mulla, Nurda Hussain, Ruijun Qin, Muhammad Tahir, Ke Liu, Matthew T. Harrison, Sutinee Sinutok, Saowapa Duangpan
Publikováno v:
Plants, Vol 12, Iss 21, p 3685 (2023)
Nitrogen (N) deficiency can limit rice productivity, whereas the over- and underapplication of N results in agronomic and economic losses. Process-based crop models are useful tools and could assist in optimizing N management, enhancing the productio
Externí odkaz:
https://doaj.org/article/51a710386623419f83e8a5c1ef1cd457
Autor:
Tajamul Hussain, Hero T. Gollany, David J. Mulla, Zhao Ben, Muhammad Tahir, Syed Tahir Ata-Ul-Karim, Ke Liu, Saliha Maqbool, Nurda Hussain, Saowapa Duangpan
Publikováno v:
Agronomy, Vol 13, Iss 9, p 2379 (2023)
A suitable nitrogen (N) application rate (NAR) and ideal planting period could improve upland rice productivity, enhance the soil water utilization, and reduce N losses. This study was conducted for the assessment and application of the EPIC model to
Externí odkaz:
https://doaj.org/article/5bd5781330ab4c8a8e946aee83097c97
Publikováno v:
Remote Sensing, Vol 14, Iss 14, p 3504 (2022)
Nitrogen balance index (NBI) is an important indicator for scientific diagnostic and quantitative research on crop growth status. The quick and accurate assessment of NBI is necessary for farmers to make timely N management decisions. The objective o
Externí odkaz:
https://doaj.org/article/c0750a0c880f43c2a176395d8eebf477
Autor:
Gary W. Feyereisen, Kurt A. Spokas, Jeffrey S. Strock, David J. Mulla, Andry Z. Ranaivoson, Jeffrey A. Coulter
Publikováno v:
Agricultural & Environmental Letters, Vol 5, Iss 1, Pp n/a-n/a (2020)
Abstract Woodchip denitrifying bioreactors (WDBR) reduce off‐field tile drainage nitrogen (N) losses from agricultural fields. Limited evaluation exists regarding the influence of flow direction through WDBRs. Changing flow direction could reduce s
Externí odkaz:
https://doaj.org/article/8ae468299a404706810ff3595f747bde
Publikováno v:
Remote Sensing, Vol 14, Iss 1, p 132 (2021)
A meticulous image processing workflow is oftentimes required to derive quality image data from high-resolution, unmanned aerial systems. There are many subjective decisions to be made during image processing, but the effects of those decisions on pr
Externí odkaz:
https://doaj.org/article/c6cdf9215c124d0ab64e7aea63754057
Autor:
Xinbing Wang, Yuxin Miao, Rui Dong, Zhichao Chen, Krzysztof Kusnierek, Guohua Mi, David J. Mulla
Publikováno v:
Agronomy, Vol 10, Iss 9, p 1237 (2020)
The dynamic interactions between soil, weather and crop management have considerable influences on crop yield within a region, and should be considered in optimizing nitrogen (N) management. The objectives of this study were to determine the influenc
Externí odkaz:
https://doaj.org/article/3af643c7136c4e5da2d5ef93d0b5afdc
Autor:
Tyler J. Nigon, Ce Yang, Gabriel Dias Paiao, David J. Mulla, Joseph F. Knight, Fabián G. Fernández
Publikováno v:
Remote Sensing, Vol 12, Iss 8, p 1234 (2020)
The ability to predict spatially explicit nitrogen uptake (NUP) in maize (Zea mays L.) during the early development stages provides clear value for making in-season nitrogen fertilizer applications that can improve NUP efficiency and reduce the risk
Externí odkaz:
https://doaj.org/article/f7767eb6f1a9456f9e8ae339b5fa7a3e