Literature DB >> 29304259

Maize reproductive development and kernel set under limited plant growth environments.

Lucas Borrás1, Lucas N Vitantonio-Mazzini1.   

Abstract

Maize grain yield is highly related to the number of kernels that are established during the flowering period. Kernel number depends on the accumulation of ear biomass and the efficiency of using this biomass for kernel set. Ear biomass depends on the rate of plant biomass accumulation and the proportion of this biomass that is allocated to the ear. In contrast to other major crops, the proportion of plant biomass that is allocated to the ear is not constant in maize, being almost zero under stress conditions. Fortunately, there is wide native genetic variability for this trait, with major practical implications for crop management and plant breeding. Conditions that inhibit plant growth commonly delay silk appearance relative to male anthesis. Time to silking and silk extrusion, which is a tissue expansion process, is dependent on water turgor and ear biomass accumulation, and the magnitude of this delay is used as a marker to phenotype for stress susceptibility. Ear biomass accumulation can also be used for predicting the number of silks that have been extruded if genotype-specific parameters are known. Here, several mechanistic plant and canopy traits are described, together with their implications for better understanding maize yield determination under limited plant growth environments. An ideal genotype sustains growth in environments with limited water or nutrients, has uniform canopies, has increased biomass partitioning to the ear at reduced plant growth, reaches silking with minimum ear biomass, and has rapid silk extrusion for minimizing developmental delays between competing structures within the ear. All these traits help maximize kernel set and yield at limited plant growth, and most have been indirectly selected by breeders when increasing yield.

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Mesh:

Year:  2018        PMID: 29304259     DOI: 10.1093/jxb/erx452

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  7 in total

1.  A Systems Modeling Approach to Forecast Corn Economic Optimum Nitrogen Rate.

Authors:  Laila A Puntel; John E Sawyer; Daniel W Barker; Peter J Thorburn; Michael J Castellano; Kenneth J Moore; Andrew VanLoocke; Emily A Heaton; Sotirios V Archontoulis
Journal:  Front Plant Sci       Date:  2018-04-13       Impact factor: 5.753

2.  Progress in understanding drought tolerance: from alleles to cropping systems.

Authors:  Rajeev K Varshney; Roberto Tuberosa; Francois Tardieu
Journal:  J Exp Bot       Date:  2018-06-06       Impact factor: 6.992

Review 3.  Fungal Pathogens of Maize Gaining Free Passage Along the Silk Road.

Authors:  Michelle E H Thompson; Manish N Raizada
Journal:  Pathogens       Date:  2018-10-11

4.  Maize Canopy Apparent Photosynthesis and 13C-Photosynthate Reallocation in Response to Different Density and N Rate Combinations.

Authors:  Shanshan Wei; Xiangyu Wang; Guanghao Li; Dong Jiang; Shuting Dong
Journal:  Front Plant Sci       Date:  2019-09-19       Impact factor: 5.753

5.  Transmitting silks of maize have a complex and dynamic microbiome.

Authors:  Eman M Khalaf; Anuja Shrestha; Jeffrey Rinne; Michael D J Lynch; Charles R Shearer; Victor Limay-Rios; Lana M Reid; Manish N Raizada
Journal:  Sci Rep       Date:  2021-06-24       Impact factor: 4.379

6.  Differential Maize Yield Hybrid Responses to Stand Density Are Correlated to Their Response to Radiation Reductions Around Flowering.

Authors:  Federico H Larrosa; Lucas Borrás
Journal:  Front Plant Sci       Date:  2022-01-17       Impact factor: 5.753

7.  Transcriptome analysis reveals key developmental and metabolic regulatory aspects of oil palm (Elaeis guineensis Jacq.) during zygotic embryo development.

Authors:  Anni Zhang; Longfei Jin; Rajesh Yarra; Hongxing Cao; Ping Chen; Jerome Jeyakumar John Martin
Journal:  BMC Plant Biol       Date:  2022-03-12       Impact factor: 4.215

  7 in total

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