Results 11 to 20 of about 72,931 (264)

Simulation of evapotranspiration and yield of maize: An inter-comparison among 41 maize models

Agricultural and Forest Meteorology, 2023
Accurate simulation of crop water use (evapotranspiration, ET) can help crop growth models to assess the likely effects of climate change on future crop productivity, as well as being an aid for irrigation scheduling for today's growers. To determine how well maize (Zea mays L.) growth models can simulate ET, an initial inter-comparison study was ...
Kimball, Bruce, Thorp, Kelly, Boote, Kenneth, Stockle, Claudio, Suyker, Andrew, Evett, Steven, Brauer, David, Coyle, Gwen, Copeland, Karen, Marek, Gary, Colaizzi, Paul, Acutis, Marco, Alimagham, Seyyedmajid, Archontoulis, Sotirios, Babacar, Faye, Barcza, Zoltán, Basso, Bruno, Bertuzzi, Patrick, Constantin, Julie, de Antoni Migliorati, Massimiliano, Dumont, Benjamin, Durand, Jean-Louis, Fodor, Nándor, Gaiser, Thomas, Garofalo, Pasquale, Gayler, Sebastian, Giglio, Luisa, Grant, Robert, Guan, Kaiyu, Hoogenboom, Gerrit, Jiang, Qianjing, Kim, Soo-Hyung, Kisekka, Isaya, Lizaso, Jon, Masia, Sara, Meng, Huimin, Mereu, Valentina, Mukhtar, Ahmed, Perego, Alessia, Peng, Bin, Priesack, Eckart, Qi, Zhiming, Shelia, Vakhtang, Snyder, Richard, Soltani, Afshin, Spano, Donatella, Srivastava, Amit, Thomson, Aimee, Timlin, Dennis, Trabucco, Antonio, Webber, Heidi, Weber, Tobias, Willaume, Magali, Williams, Karina, van der Laan, Michael, Ventrella, Domenico, Viswanathan, Michelle, Xu, Xu, Zhou, Wang   +58 more
openaire   +4 more sources

Evaluation of maize grain yield and yield stability by AMMI analysis [PDF]

Genetika, 2018
Significant genotype x environment interaction for quantitative traits, such is grain yield, reduces the usefulness of genotype means, over all environments, for selecting superior genotypes. AMMI model is a valuable statistical tool in identifying systemic variation contained in the interaction effect.
Dragana Brankovic-Radojcic, Vojka Babic, Zdenka Girek, Tomislav Zivanovic, Aleksandar Radojĉic, Milomir Filipovic, Jelena Srdic   +6 more
openaire   +3 more sources

Developing a process-based and remote sensing driven crop yield model for maize (PRYM–Maize) and its validation over the Northeast China Plain

Journal of Integrative Agriculture, 2021
Spatial dynamics of crop yield provide useful information for improving the production. High sensitivity of crop growth models to uncertainties in input factors and parameters and relatively coarse parameterizations in conventional remote sensing (RS ...
Sha ZHANG, Yun BAI, Jia-hua ZHANG, Shahzad ALI   +3 more
doaj   +1 more source

A Two-Year Study on Yield and Yield Components of Maize-White Bean Intercropping Systems under Different Sowing Techniques

Agronomy, 2022
Food security is directly coupled with enhanced production under optimized cropping intensity. Intercropping is a diversified and sustainable agricultural technique with optimized cropping intensity.
Aidyn Zhanbota, Rana Shahzad Noor, Azeem Iqbal Khan, Gangyi Wang, Muhammad Mohsin Waqas, Adnan Noor Shah, Sami Ullah   +6 more
doaj   +1 more source

Maize BIG GRAIN1 homolog overexpression increases maize grain yield [PDF]

Plant Biotechnology Journal, 2020
SummaryThe Zea Mays BIG GRAIN 1 HOMOLOG 1 (ZM‐BG1H1) was ectopically expressed in maize. Elite commercial hybrid germplasm was yield tested in diverse field environment locations representing commercial models. Yield was measured in 101 tests across all 4 events, 26 locations over 2 years, for an average yield gain of 355 kg/ha (5.65 bu/ac) above ...
Carl R. Simmons, Benjamin P. Weers, Kellie S. Reimann, Shane E. Abbitt, Mary J. Frank, Wuyi Wang, Jingrui Wu, Bo Shen, Jeffrey E. Habben   +8 more
openaire   +2 more sources

Climate Change and Maize Yield in Iowa

PLOS ONE, 2016
Climate is changing across the world, including the major maize-growing state of Iowa in the USA. To maintain crop yields, farmers will need a suite of adaptation strategies, and choice of strategy will depend on how the local to regional climate is expected to change.
Xu Hong, T. E. Twine, Evan Girvetz
openaire   +4 more sources

Enhancing productivity of spring maize (Zea mays) with intercrops and row-orientations

The Indian Journal of Agricultural Sciences, 2020
A research experiment was conducted on spring maize (Zea mays L.) in a split-plot design with two row orientations in main plots and nine intercropping including sole systems in sub plots during 2016-17 at Punjab Agricultural University, Ludhiana.
Jaswinder Kumar, Thakar Singh, Som Pal Singh   +2 more
doaj   +1 more source

Impact of Spatial Soil Variability on Rainfed Maize Yield in Kansas under a Changing Climate

Agronomy, 2023
As the climate changes, a growing demand exists to identify and manage spatial variation in crop yield to ensure global food security. This study assesses spatial soil variability and its impact on maize yield under a future climate in eastern Kansas ...
Rintu Sen, Zachary T. Zambreski, Vaishali Sharda   +2 more
doaj   +1 more source

Effect of row arrangement of common bean with maize intercropping on yield and economic benefit of component crops under Gimbo and Guraferda, Kaffa and Bench Maji zones, South Ethiopia

International Journal of Agricultural Research, Innovation and Technology, 2020
The yield advantage obtained due to intercropping is attributed to a better use of resources by crops grown in combinations, as compared to sole stands.
M Mogiso, N Nazib
doaj   +1 more source

Stability of yield and yield components in maize hybrids

Genetika, 2009
Two-year grain yield and 1000-grains mass data of 24 maize hybrids of FAO maturity groups 400, 500, 600, 700 were analyzed. Investigations were performed at the two environments in two years. Nonparametric methods of the Kubinger and the van der Laan-de Kroon showed genotype x environment interaction for both investigated features, and method of ...
Radomir Cvarkovic, Gordana Brankovic, Irena Calic, Nenad Delic, Tomislav Zivanovic, Gordana Surlan-Momirovic   +5 more
openaire   +2 more sources