Mapping Fall Dormancy and Winter Injury in Tetraploid Alfalfa

Li, Xuehui; Alarcón-Zúñiga, Baldomero; Tahir, Mukkram Ali; Jiang, Qingzhen; Wei, Yanling; Reyno, Rafael; Robins, Joseph G.; Brummer, E. Charles

doi:10.2135/cropsci2014.12.0834

Cited by 41 publications

(89 citation statements)

References 52 publications

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“…GBS and other genomic investigations allowed the identification of QTL influencing various agronomic traits in alfalfa, such as biomass yield [20–22], aluminium tolerance [23], drought tolerance [24], salt tolerance [25], freezing tolerance [26] and biomass yield under drought stress [27]. However, there is a paucity of studies regarding alfalfa forage quality traits.…”

Section: Introductionmentioning

confidence: 99%

Genome-Wide Association Mapping and Genomic Selection for Alfalfa (Medicago sativa) Forage Quality Traits

Biazzi¹,

N.²,

Pecetti³

et al. 2017

PLoS ONE

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Genetic progress for forage quality has been poor in alfalfa (Medicago sativa L.), the most-grown forage legume worldwide. This study aimed at exploring opportunities for marker-assisted selection (MAS) and genomic selection of forage quality traits based on breeding values of parent plants. Some 154 genotypes from a broadly-based reference population were genotyped by genotyping-by-sequencing (GBS), and phenotyped for leaf-to-stem ratio, leaf and stem contents of protein, neutral detergent fiber (NDF) and acid detergent lignin (ADL), and leaf and stem NDF digestibility after 24 hours (NDFD), of their dense-planted half-sib progenies in three growing conditions (summer harvest, full irrigation; summer harvest, suspended irrigation; autumn harvest). Trait-marker analyses were performed on progeny values averaged over conditions, owing to modest germplasm × condition interaction. Genomic selection exploited 11,450 polymorphic SNP markers, whereas a subset of 8,494 M. truncatula-aligned markers were used for a genome-wide association study (GWAS). GWAS confirmed the polygenic control of quality traits and, in agreement with phenotypic correlations, indicated substantially different genetic control of a given trait in stems and leaves. It detected several SNPs in different annotated genes that were highly linked to stem protein content. Also, it identified a small genomic region on chromosome 8 with high concentration of annotated genes associated with leaf ADL, including one gene probably involved in the lignin pathway. Three genomic selection models, i.e., Ridge-regression BLUP, Bayes B and Bayesian Lasso, displayed similar prediction accuracy, whereas SVR-lin was less accurate. Accuracy values were moderate (0.3–0.4) for stem NDFD and leaf protein content, modest for leaf ADL and NDFD, and low to very low for the other traits. Along with previous results for the same germplasm set, this study indicates that GBS data can be exploited to improve both quality traits (by genomic selection or MAS) and forage yield.

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Section: Introductionmentioning

confidence: 99%

Genome-Wide Association Mapping and Genomic Selection for Alfalfa (Medicago sativa) Forage Quality Traits

Biazzi¹,

N.²,

Pecetti³

et al. 2017

PLoS ONE

Self Cite

123

114

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“…The negative correlation between accumulation of carbohydrate reserves and production of harvestable biomass (i.e., assimilate partitioning) is difficult to get around. The association between leaf growth and cold acclimation may have a regulatory cause (discussed below) rather than a physiological cause, and thus it may be possible to break this association through breeding, as has been suggested for alfalfa (Medicago sativa L.) [45][46][47]. In order to obtain high productivity over several years, a high rate of winter survival and vigorous spring regrowth is necessary, and therefore increased autumn productivity through an extended growing season can only be sustainably achieved if there is enough light during the delayed cold acclimation period.…”

Section: Can We Increase Autumn Productivity At High Latitudes?mentioning

confidence: 99%

Section: Can We Increase Autumn Productivity At High Latitudes?mentioning

confidence: 99%

Optimal Regulation of the Balance between Productivity and Overwintering of Perennial Grasses in a Warmer Climate

Ergon

2017

Agronomy

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Seasonal growth patterns of perennial plants are linked to patterns of acclimation and de-acclimation to seasonal stresses. The timing of cold acclimation (development of freezing resistance) and leaf growth cessation in autumn, and the timing of de-acclimation and leaf regrowth in spring, is regulated by seasonal cues in the environment, mainly temperature and light factors. Warming will lead to new combinations of these cues in autumn and spring. Extended thermal growing seasons offer a possibility for obtaining increased yields of perennial grasses at high latitudes. Increased productivity in the autumn may not be possible in all high latitude regions due to the need for light during cold acclimation and the need for accumulating a carbohydrate storage prior to winter. There is more potential for increased yields in spring due to the availability of light, but higher probability of freezing events in earlier springs would necessitate a delay of de-acclimation, or an ability to rapidly re-acclimate. In order to optimize the balance between productivity and overwintering in the future, the regulation of growth and acclimation processes may have to be modified. Here, the current knowledge on the coordinated regulation of growth and freezing resistance in perennial grasses is reviewed.

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“…and cas30, along with C-repeat motif and likely CBF-regulated genes, were also reported to be expressed in relation to freezing tolerance [87]. Zhang and Wang (2014) performed transcriptome profiling using RNA-seq analysis and observed differential expression of some potential genes associated with FD in alfalfa [88].…”

Section: Genetic Control Of Dormancymentioning

confidence: 99%

Insights into Seasonal Dormancy of Perennial Herbaceous Forages

Adhikari¹,

Razar²,

Paudel³

et al. 2017

AJPS

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Seasonal dormancy is an adaptive mechanism where plants suspend growth and become physiologically inactive to avoid extreme environmental conditions. Environmental factors like temperature, photoperiod, nutrients, and soil moisture control plant growth and development through various complex molecular mechanisms. Crown and seed dormancy of plants are mostly influenced by day length and temperature. Genes and physiological pathways triggered by these two factors along with genotype variability are some targets to manipulate seasonal dormancy. There is genetic variation in the depth and duration of seasonal dormancy. Therefore, their genetic manipulation is possible. Manipulations of summer and fall dormancy are relatively easier compared to winter dormancy because plants require protection of their apical meristem from freezing temperatures and limited water supply. Genetic factors that regulate seed dormancy may also have regulatory role for seasonal dormancy of the maternal plants. Limited genetic and genomic information are available for seasonal dormancy in herbaceous perennial species. Knowledge of genes controlling seasonal dormancy of eudicots, forest trees, and horticultural crops could be interpolated to explore possible dormancy mechanisms in perennial forages. This study reviews current knowledge of seasonal dormancy of herbaceous forages emphasizing the genetic and physiological context that would be valuable to breeders and plant biologists to expand the production season of perennial species by developing non-dormant and semi-dormant cultivars.

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Mapping Fall Dormancy and Winter Injury in Tetraploid Alfalfa

Cited by 41 publications

References 52 publications

Genome-Wide Association Mapping and Genomic Selection for Alfalfa (Medicago sativa) Forage Quality Traits

Genome-Wide Association Mapping and Genomic Selection for Alfalfa (Medicago sativa) Forage Quality Traits

Optimal Regulation of the Balance between Productivity and Overwintering of Perennial Grasses in a Warmer Climate

Insights into Seasonal Dormancy of Perennial Herbaceous Forages

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