Zobrazeno 1 - 10
of 326
pro vyhledávání: '"Ignacio A Ciampitti"'
Publikováno v:
Environmental Research Letters, Vol 18, Iss 7, p 074042 (2023)
Crop yield results from the complex interaction between genotype, management, and environment. While farmers have control over what genotype to plant and how to manage it, their decisions are often sub-optimal due to climate variability. Sub-seasonal
Externí odkaz:
https://doaj.org/article/192487c2e14242f4a06c13bc273fd912
Autor:
Silas Maciel de Oliveira, Rodrigo Estevam Munhoz de Almeida, Ignacio A Ciampitti, Clovis Pierozan Junior, Bruno Cocco Lago, Paulo Cesar Ocheuze Trivelin, José Laércio Favarin
Publikováno v:
PLoS ONE, Vol 13, Iss 2, p e0192776 (2018)
Early fertilizer nitrogen (N) application on cover crops or their residues during the off-season is a practice adopted in Brazil subtropical conditions under no-tillage corn (Zea mays L.) systems. However, the effect of early N application on yield,
Externí odkaz:
https://doaj.org/article/2088ae25903443b6b53bf10e8b3206b9
Publikováno v:
Ciencia del Suelo, Vol 23, Iss 2, Pp 123-131 (2005)
El óxido nitroso absorbe radiación infrarroja contribuyendo al efecto invernadero; este gas es producido principalmente en el suelo, mediante los procesos de nitrificación y denitrificación. En un estudio a campo, sobre un suelo Argiudol típico,
Externí odkaz:
https://doaj.org/article/71c48ae1281b4c798f1542a152fed336
Publikováno v:
Farming System, Vol 2, Iss 1, Pp 100066- (2024)
Integrating camelina (Camelina sativa L. Crantz) into wheat (Triticum aestivum L.) -based cropping systems in the Great Plains Region of the United States could improve soil properties and overall system productivity. However, there is little informa
Externí odkaz:
https://doaj.org/article/717b5d89c17a4af49c91e27c9fab4e4f
Autor:
Valentina M. Pereyra, Leonardo M. Bastos, André Froes de Borja Reis, Ricardo J. M. Melchiori, Nicolas E. Maltese, Stefania C. Appelhans, P. V. Vara Prasad, Yancy Wright, Edwin Brokesh, Ajay Sharda, Ignacio A. Ciampitti
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Increased soybean (Glycine max L. Merril) seed costs have motivated interest in reduced seeding rates to improve profitability while maintaining or increasing yield. However, little is known about the effect of early-season plant-to-plant sp
Externí odkaz:
https://doaj.org/article/6c50d8a59b724e0e8ace574660442f3b
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-4 (2022)
In this Comment, Ciampitti et al. introduces a more relevant conceptual framework bridging soil and plant processes to untangle true gains of N for field crops rather than indirect progress merely based on yield.
Externí odkaz:
https://doaj.org/article/8135ad70bcc749ebab23bcab93e93972
Autor:
Adrian A. Correndo, Austin Pearce, Carl H. Bolster, John T. Spargo, Deanna Osmond, Ignacio A. Ciampitti
Publikováno v:
SoftwareX, Vol 21, Iss , Pp 101275- (2023)
The soiltestcorr R package is an open-source software designed to enable accessible and reproducible computation of correlation analyses between crop yield response to fertilization and soil test values. The package compiles a series of functions for
Externí odkaz:
https://doaj.org/article/1806b07f93894557a43c69c1f0ae29b2
Publikováno v:
Journal of Integrative Agriculture, Vol 20, Iss 12, Pp 3289-3298 (2021)
Microbes are decomposers of crop residues, and climatic factors and residue composition are known to influence microbial growth and community composition, which in turn regulate residue decomposition. However, the succession of the bacterial communit
Externí odkaz:
https://doaj.org/article/77691025e803437381cf0674af4d1602
Autor:
Travis Wiederstein, Vaishali Sharda, Jonathan Aguilar, Trevor Hefley, Ignacio Antonio Ciampitti, Ajay Sharda, Kelechi Igwe
Publikováno v:
Frontiers in Agronomy, Vol 4 (2022)
Variable rate irrigation (VRI) requires accurate knowledge of crop water demands at the sub-field level. Existing VRI practices commonly use one or more variables like soil electrical conductivity, historical yields, and topographic maps to delineate
Externí odkaz:
https://doaj.org/article/942adc8dbf13457abf3737f817182e19
Autor:
Luciana Nieto, Raí Schwalbert, P. V. Vara Prasad, Bradley J. S. C. Olson, Ignacio A. Ciampitti
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Efficient, more accurate reporting of maize (Zea mays L.) phenology, crop condition, and progress is crucial for agronomists and policy makers. Integration of satellite imagery with machine learning models has shown great potential to improv
Externí odkaz:
https://doaj.org/article/c7875ae560b54618815e0502ea516170