Senescence: The Genetics behind Stay-Green Corn

Caseys, Céline

doi:10.1105/tpc.19.00465

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…It is unclear how this would also affect carbohydrate and nutrient remobilization during senescence in corn. Plants containing stay‐green traits were able to maintain photosynthetic rates longer than plants lacking stay‐green traits (Céline, 2019; Sekhon et al., 2019), which may allow grain filling to continue even as plants approach maturity. Corn physiological maturity and black layer development are shown to occur in response to reduced sucrose availability later in the season (Afuakwa et al., 1984) due to leaf senescence and cooler temperatures.…”

Section: Heat Unit Accumulationmentioning

confidence: 99%

Corn response to long‐term seasonal weather stressors: A review

Ortez,

Lindsey,

Thomison

et al. 2023

Crop Science

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Long‐term weather patterns (environmental conditions or stresses exceeding 10 days in length) have the potential to influence corn (Zea mays L.) growth, development, and yield. This review summarizes the current knowledge (with emphasis placed on the Midwestern U.S. production environment) on how long‐term weather conditions affect corn growth and yield, including (i) drought and heat stress, (ii) solar radiation, and (iii) distribution of heat unit accumulation during the season. Each section contains summaries of how these environmental factors influence corn growth and yield and provides context into past events experienced. The focus of the review is on dent corn grown for grain production, though relevant issues related to other types (i.e., silage corn) are included. This review also discusses agronomic recommendations or considerations to help alleviate the negative effects of stress conditions and identify areas where future research would be beneficial to continue improving the resiliency of corn cropping systems. Periods of high heat and water deficit as well as limited light availability challenge the ability to maximize yield production in corn. Temperature affects crop growth and development through the season, and accurately describing phenological progression using heat unit accumulation is a challenge. Advances in corn breeding and genetics, hybrid selection, and agronomic management practices will be key to ensuring long‐range productivity and fully leveraging possible benefits from the shifts in long‐range weather patterns.

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Section: Heat Unit Accumulationmentioning

confidence: 99%

Corn response to long‐term seasonal weather stressors: A review

Ortez,

Lindsey,

Thomison

et al. 2023

Crop Science

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“…During the reproductive stage, asynchrony between anthesis and silking can reduce pollination effectiveness, resulting in reduced number of kernels per ear. Water and nutrient limitations that occur between flowering and grain physiological maturity can slow grain filling, increase kernel abortion, accelerate senescence, and consequently compromise resulting kernel weight (Aslam et al., 2015; Blumwald & Mittler, 2015; Sehgal et al., 2018; Céline, 2019; Sah et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

Utility of anthesis–silking interval information to predict grain yield under water and nitrogen limited conditions

2022

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Delayed silking relative to pollen shed, measured as the anthesis-silking interval (ASI, the period between pollen shed and silking), is a good indicator of response to abiotic stresses in maize (Zea mays L.). This research was conducted to investigate how ASI is affected by nitrogen (N) and water availability and to assess the utility of ASI to indirectly predict grain yield (GY) under contrasting water and N treatments. Two experiments were conducted in Hancock, WI, in 2018 and 2019. One experiment (Diverse hybrids) included 302 hybrids resulting from the cross of diverse inbred lines by a single tester evaluated at four different treatment levels resulting from combining nonlimited and low N with nonlimited and low water treatments.The second experiment (NSS FAC) included a set of 408 hybrids derived from the cross of biparental doubled-haploid lines from 13 factorial populations and evaluated under nonlimited and low N treatments. Anthesis and silk time in growing degree days, and GY (Mg ha −1 ) were measured. Genomic prediction was assessed using a genomic best linear unbiased prediction model, and predictive ability was calculated as the correlation between genomic predictions and adjusted means in the different treatments. Predictive ability ranged from .15 to .49 for NSS FAC and from .06 to .51 for Diverse hybrids across traits and treatments. The ASI was a good indicator of stress and showed higher heritability than GY in the limited treatments for both experiments; however, it did not improve yield predictability.

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Genome-Wide Association Analysis of Senescence-Related Traits in Maize

Yannam

Caicedo

Malvar

et al. 2022

IJMS

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Senescence is a programmed process that involves the destruction of the photosynthesis apparatus and the relocation of nutrients to the grain. Identifying senescence-associated genes is essential to adapting varieties for the duration of the cultivation cycle. A genome-wide association study (GWAS) was performed using 400 inbred maize lines with 156,164 SNPs to study the genetic architecture of senescence-related traits and their relationship with agronomic traits. We estimated the timing of senescence to be 45 days after anthesis in the whole plant and specifically in the husks. A list of genes identified in a previous RNAseq experiment as involved in senescence (core senescence genes) was used to propose candidate genes in the vicinity of the significant SNPs. Forty-six QTLs of moderate to high effect were found for senescence traits, including specific QTLs for husk senescence. The allele that delayed senescence primarily increased grain yield and moisture. Seven and one significant SNPs were found in the coding and promoter regions of eight core senescence genes, respectively. These genes could be potential candidates for generating a new variation by genome editing for functional analysis and breeding purposes, particularly Zm00001d014796, which could be responsible for a QTL of senescence found in multiple studies.

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Senescence: The Genetics behind Stay-Green Corn

Cited by 3 publications

References 4 publications

Corn response to long‐term seasonal weather stressors: A review

Corn response to long‐term seasonal weather stressors: A review

Utility of anthesis–silking interval information to predict grain yield under water and nitrogen limited conditions

Genome-Wide Association Analysis of Senescence-Related Traits in Maize

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