Impact of soil compaction on 30-year soybean yield simulated with CROPGRO-DSSAT

Mulazzani, Rodrigo Pivoto; Gubiani, Paulo Ivonir; Zanon, Alencar Júnior; Drescher, Marta Sandra; Schenato, Ricardo Bergamo; Girardello, Vitor Cauduro

doi:10.1016/j.agsy.2022.103523

Cited by 8 publications

(1 citation statement)

References 58 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…30,0452 + 176,9502 • NDMI, (4) Урожайность = -37,8378 + 79,2406 • NDVI,(5) Урожайность = -43,6041 + 85,1466 • SAVI,(6) Распределение остатков вблизи прямой зависимости ожидаемого нормального значения урожайности от величины остатка для вегетационных индексов (рис. 5) свидетельствует о статистической значимости регрессионных моделей.Исходя из величины коэффициента b перед значением вегетационного индекса в соответствующем регрессионном уравнении, можно сделать вывод, что урожайность сои в наибольшей степени зависит от величины -засушливости (NDMI) и во вторую очередь -примерно одинаково -от фотосинтетической продуктивности биомассы (NDVI) и контрастности почвенного фактора по отношению к зеленой биомассе сои (SAVI). ADVANCES IN CURRENT NATURAL SCIENCES № 2, 2023   AGRICULTURAL SCIENCES  Рис.…”

unclassified

Investigation of the Influence of Physical and Climatic Factors of the Saratov Region on Soybean Yield by Remote Sensing of the Earth

Buylov,

Kosarev,

Chumakova

et al. 2023

УСЕ (ACNR)

View full text Add to dashboard Cite

unclassified

Investigation of the Influence of Physical and Climatic Factors of the Saratov Region on Soybean Yield by Remote Sensing of the Earth

Buylov,

Kosarev,

Chumakova

et al. 2023

УСЕ (ACNR)

View full text Add to dashboard Cite

Model‐based multi‐genotype characterization of drought stress Target Population of Environments for the common bean in East Africa

Jha,

Beebe,

Urban

et al. 2024

Crop Science

View full text Add to dashboard Cite

Efforts toward the development of common bean varieties that can perform better under the drought conditions in Eastern Africa are constrained by significant genotype–environment–management (G × E × M) interactions. To address this, an attempt was made previously to assess drought stress for Eastern Africa using the Target Population of Environments (TPE) approach, albeit by using a single cultivar. Here, we extend earlier TPE work with a larger sample of representative genotypes from East Africa including commercial and breeding lines. By using a larger genotype pool, we are able to (1) assess the extent to which TPEs identified vary across genotypes (i.e., generality of the TPEs) and (2) identify best‐performing genotypes for the various environments identified. To perform the analyses, we used the CROPGRO‐DRYBEAN cropping system model available in the Decision Support System for Agrotechnology Transfer (DSSAT) v4.7 calibrated and evaluated from field trials in Africa and Colombia with 10 genotypes. Our findings indicate that despite some level of genotype‐related variation, the dominant drought stress patterns, and their priorities—drought stress‐free conditions remain the dominant TPE, followed by terminal drought stress—remain unaltered. Moreover, we find that it is possible to reduce the extent and intensity of drought stress in various TPEs by adequately targeting genotypes from the pool considered herein. Importantly, the genotype characteristics for stress‐free, extreme terminal drought and moderate terminal drought stress are significantly different, confirming a differentiated breeding strategy is required between the TPEs. The findings from this study are useful for the modernization of the bean breeding programs in Africa.

show abstract

Can China get out of soy dilemma? A yield gap analysis of soybean in China

Wang

Ling

et al. 2023

Agron. Sustain. Dev.

View full text Add to dashboard Cite

Impact of soil compaction on 30-year soybean yield simulated with CROPGRO-DSSAT

Cited by 8 publications

References 58 publications

Investigation of the Influence of Physical and Climatic Factors of the Saratov Region on Soybean Yield by Remote Sensing of the Earth

Investigation of the Influence of Physical and Climatic Factors of the Saratov Region on Soybean Yield by Remote Sensing of the Earth

Model‐based multi‐genotype characterization of drought stress Target Population of Environments for the common bean in East Africa

Can China get out of soy dilemma? A yield gap analysis of soybean in China

Contact Info

Product

Resources

About