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Published in 2021 at "Journal of the science of food and agriculture"
DOI: 10.1002/jsfa.11713
Abstract: BACKGROUND We evaluated different machine learning (ML) models for predicting soybean productivity up to one month in advance for the Matopiba agricultural frontier (States of Maranhão, Tocantins, Piauí, and Bahia). We collected meteorological data on…
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Keywords:
machine learning;
yield;
brazilian cerrado;
soybean yield ... See more keywords
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Published in 2021 at "Plant Cell Reports"
DOI: 10.1007/s00299-021-02752-y
Abstract: Key message GmFULa improved soybean yield by enhancing carbon assimilation. Meanwhile, different from known yield-related genes, it did not alter flowering time or maturity. Abstract Soybean (Glycine max (L.) Merr.) is highly demanded by a…
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Keywords:
time maturity;
seed;
gmfula;
flowering time ... See more keywords
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Published in 2019 at "Environmental Processes"
DOI: 10.1007/s40710-019-00400-y
Abstract: Climate changes seem to have adverse impacts on food security. Oilseeds are the second largest food group in the world after cereals. Soybean is the main oilseed crop in Iran mainly cultivated for edible oil…
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Keywords:
econometric approach;
yield;
climate change;
soybean yield ... See more keywords
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Published in 2022 at "Current Biology"
DOI: 10.1016/j.cub.2022.02.046
Abstract: Soybean (Glycine max) grows in a wide range of latitudes, but it is extremely sensitive to photoperiod, which reduces its yield and ability to adapt to different environments. Therefore, understanding of the genetic basis of…
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Keywords:
adaptation;
soc1;
soc1a soc1b;
latitudinal adaptation ... See more keywords
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Published in 2022 at "Scientific Reports"
DOI: 10.1038/s41598-021-04043-8
Abstract: On-farm soybean yield has increased considerably in the last 50 years in southern Brazil, but there is still little information about how selection and breeding for yield increase has changed the agronomic attributes of cultivars. The…
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Keywords:
soybean yield;
southern brazil;
seed;
years southern ... See more keywords
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Published in 2020 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2020.1809736
Abstract: ABSTRACT An accurate estimation of soybean yield while the plants are still in the field is highly necessary for industry applications and decision-making policies related to planning. Remote sensing is a powerful tool, due to…
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Keywords:
time;
yield;
vegetation indices;
crop ... See more keywords
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Published in 2019 at "Anais da Academia Brasileira de Ciencias"
DOI: 10.1590/0001-3765201920180066
Abstract: Despite its economic importance, the microclimate in soybean canopies has not yet been studied in detail. Such a study can yield valuable information regarding the interaction of a crop with its environment. In this context,…
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Keywords:
microclimatic conditions;
strata relations;
yield;
canopy strata ... See more keywords
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Published in 2020 at "Bragantia"
DOI: 10.1590/1678-4499.20200117
Abstract: The conservation tillage systems is based on the surface protection by crop residue and reduced soil disturbance. These two principles can favor the soil quality and promote sustainable agricultural systems. The study was developed with…
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Keywords:
quality;
millet;
soil microbial;
conservation ... See more keywords
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Published in 2018 at "Engenharia Agricola"
DOI: 10.1590/1809-4430-eng.agric.v38n1p110-116/2018
Abstract: This study aims to quantify the uncertainties associated to the parameters of a Gaussian spatial linear model (GSLM) and the assumption of normality residuals in the modeling of the spatial dependence of the soybean yield…
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Keywords:
linear model;
spatial linear;
model;
soybean yield ... See more keywords
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Published in 2023 at "Frontiers in Microbiology"
DOI: 10.3389/fmicb.2023.1161983
Abstract: Microbial diversity is an important indicator of soil fertility and plays an indispensable role in farmland ecosystem sustainability. The short-term effects of fertilization and rhizobium inoculation on soil microbial diversity and community structure have been…
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Keywords:
term;
soybean yield;
rhizobium;
yield ... See more keywords
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Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2021.791256
Abstract: Soybean yield is a highly complex trait determined by multiple factors such as genotype, environment, and their interactions. The earlier the prediction during the growing season the better. Accurate soybean yield prediction is important for…
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Keywords:
recognition;
neural network;
prediction;
soybean yield ... See more keywords