Relationship between physiology and production of maize under different water replacements in the Brazilian semi-arid

Author:

Anjos Franklin A. dos1ORCID,Ferraz Rener L. de S.2ORCID,Azevedo Carlos A. V. de2ORCID,Costa Patrícia da S.2ORCID,Melo Alberto S. de3ORCID,Ramalho Vitória R. R. de A. R.1ORCID

Affiliation:

1. Instituto Federal de Educação, Ciência e Tecnologia de Alagoas, Brazil

2. Universidade Federal de Campina Grande, Brazil

3. Universidade Estadual da Paraíba, Brazil

Abstract

ABSTRACT Water restriction causes physiological disorders and reduces maize yield in semi-arid regions. The objective of this study was to correlate instantaneous physiological variables with the grain yield of maize using different replacement percentages of water lost through evapotranspiration and to fit a multiple regression model to estimate grain yield in the dry season in the Brazilian semi-arid region. The experiment was installed in a randomized block design, with six percentages of reference evapotranspiration (ETo) repositioning (50, 75, 100, 125, 150, and 175%). The AG 7088 hybrid had a higher CO2 assimilation rate, stomatal conductance, transpiration, and instantaneous water use efficiency, and reduced leaf temperature and vapor pressure deficit under full irrigation (100% of ETo, 458 mm), with yields of 5.75 t ha-1, reaching 6.8 t ha-1 (572 mm) and 7.65 t ha-1 (801 mm) with replacements of 125 and 175% of ETo, respectively. Measurements of leaf gas exchange, vapor pressure deficit, and leaf temperature can be performed at phenological stage R1 to estimate grain yield with greater robustness when combined with water rates applied during the crop cycle.

Publisher

FapUNIFESP (SciELO)

Subject

Agricultural and Biological Sciences (miscellaneous),Agronomy and Crop Science,Environmental Engineering

Reference32 articles.

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2. Déficit e excesso hídrico na cultura do milho (Zea mays L.) em ambiente protegido;Almeida B. M. de,2016

3. Production components and water use efficiency of corn under irrigation depths;Anjos F. A. dos;Australian Journal of Crop Science,2017

4. Desempenho agronômico de híbridos de milho na região sudeste de Goiás;Araújo L. da S.;Revista Agroambiente,2016

5. Multivariate analysis andmodeling of soil quality indicators in long-term management systems;Barbosa M. de A.;Science of the Total Environment,2019

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