Stay-green character and its contribution in Brazilian wheats

Luche, Henrique de Souza; Silva, José Antônio Gonzalez da; Nornberg, Rafael; Hawerroth, Maraisa Crestani; Silveira, Solange Ferreira da Silveira; Caetano, V. da R.; Santos, Rodrigo Lisboa; Figueiredo, Ricardo; Maia, Luciano Carlos da; Oliveira, Antônio Costa de

doi:10.1590/0103-8478cr20160583

Cited by 6 publications

(3 citation statements)

References 15 publications

(10 reference statements)

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“…However, when studying senescence this relationship is rarely explicitly tested, although Pinto et al . (2016) and De Souza Luche et al . (2017) report a positive correlation between flag leaf and grain fill duration, r = 0.16 to 0.7, P < 0.01.…”

Section: Introductionmentioning

confidence: 96%

Capturing and Selecting Senescence Variation in Wheat

Chapman

Orford

Lage³

et al. 2020

Preprint

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Senescence is a highly quantitative trait, but in wheat the genetics underpinning senescence regulation remain relatively unknown. To select senescence variation, and ultimately identify novel genetic regulators, accurate characterisation of senescence phenotypes is essential. When investigating senescence, phenotyping efforts often focus on, or are limited to, visual assessment of the flag leaves. However, senescence is a whole plant process, involving remobilisation and translocation of resources into the developing grain. Furthermore, the temporal progression of senescence poses challenges regarding trait quantification and description, whereupon the different models and approaches applied result in varying definitions of apparently similar metrics.To gain a holistic understanding of senescence we phenotyped flag leaf and peduncle senescence progression, alongside grain maturation. Reviewing the literature, we identified techniques commonly applied in quantification of senescence variation and developed simple methods to calculate descriptive and discriminatory metrics. To capture senescence dynamism, we developed the idea of calculating thermal time to different flag leaf senescence scores, for which between year Spearman’s rank correlations of r ≥ 0.59, P < 4.7 × 10−5(TT70), identify as an accurate phenotyping method. Following our experience of senescence trait genetic mapping, we recognised the need for singular metrics capable of discriminating senescence variation, identifying Thermal Time to Flag Leaf Senescence score of 70 (TT70) and Mean Peduncle senescence (MeanPed) scores as most informative. Moreover, grain maturity assessments confirmed a previous association between our staygreen traits and grain fill extension, illustrating trait functionality.Here we review different senescence phenotyping approaches and share our experiences of phenotyping two independent RIL populations segregating for staygreen traits. Together, we direct readers towards senescence phenotyping methods we found most effective, encouraging their use when investigating and discriminating senescence variation of differing genetic bases, and to aid trait selection and weighting in breeding and research programs alike.

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Section: Introductionmentioning

confidence: 96%

Capturing and Selecting Senescence Variation in Wheat

Chapman

Orford

Lage³

et al. 2020

Preprint

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“…Correlations between green canopy and grain fill duration of r = 0.16 to 0.7, P < 0.01 (Pinto et al , 2016; De Souza Luche et al , 2017) support the potential breeding utility of staygreen traits. During grain fill Gelang et al .…”

Section: Introductionmentioning

confidence: 79%

Delaying or Delivering: Identification of novel NAM-1 alleles which delay senescence to extend grain fill duration of wheat

Chapman

Orford

Lage

et al. 2020

Preprint

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Senescence is a complex quantitative trait under genetic and environmental control, involving the remobilisation of resources from vegetative tissue into grain. Delayed senescence, or 'staygreen' traits, are associated with conferring stress tolerance, with extended photosynthetic activity hypothesised to sustain grain filling. The genetics of senescence regulation are largely unknown, with senescence variation often correlated with phenological traits. Here, we confirm staygreen phenotypes of two Triticum aestivum cv. Paragon EMS mutants previously identified during a forward genetic screen and selected for their agronomic performance, similar phenology and differential senescence phenotypes. Through grain filling experiments, we confirm a positive relationship between onset of senescence and grain fill duration, reporting an associated ~14 % increase in final dry grain weight for one mutant, P < 0.05. Recombinant Inbred Line (RIL) populations segregating for senescence were developed for trait mapping purposes, and phenotyped over multiple years under field conditions. Staygreen traits were mapped using exome-capture enabled bulk segregant analysis (BSA), whereupon senescence was quantified, and metrics compared to qualify senescence traits and aid RIL selection. Using BSA we mapped our two staygreen traits to two independent, dominant, loci of 4.8 and 16.7 Mb in size encompassing 56 and 142 genes. Combining single marker association analysis with variant effect prediction, we identified SNPs encoding self-validating mutations located in NAM-1 homoeologues and propose these as gene candidates.

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“…In Brazil, winter wheat is economically important because of the large imports required to supply domestic demand (Arenhardt et al, 2015;Trautmann et al, 2020). Thus, there is need for scientific advancement in the genetics and management of winter wheat to promote self-sufficiency (Luche et al, 2017;Costa et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Efficiency of nitrogen use by wheat depending on genotype and previous crop

Kraisig

Silva

Pereira

et al. 2021

Rev. bras. eng. agríc. ambient.

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The efficiency of nitrogen use by wheat crop depends on genetic and environmental stimuli. The aim of this study was to evaluate the efficiency of nitrogen use by wheat crop, through biomass, productivity and grain quality indicators, as a function of the genotype and previous harvest, in Southern Brazil cereal cultivation systems. The experiments were conducted in soybean/wheat and maize/wheat systems during 2015, 2016, and 2017 in Augusto Pestana, RS, Brazil. The experimental design was a randomized block with four repetitions, following a 5 × 4 factorial scheme, referring to five wheat cultivars (Quartzo, TBIO Sinuelo, TBIO Sintonia, TEC 10 and TEC Vigore) and four nitrogen doses (0, 60, 120 and 180 kg ha-1) applied as a topdressing during the phenological stage of the expanded third leaf, stage 13. There were genetic differences in nitrogen use efficiency, for the productivity (yield and biomass) and quality of wheat. However, these genetic differences were influenced by the carbon:nitrogen ratios of the previous crop. Quartzo and TBIO Sinuelo had the greatest nitrogen use efficiency for grain yield, TBIO Sinuelo had the greatest nitrogen use efficiency for biomass production and Quartzo had the greatest nitrogen use efficiency for grain quality with expectation of 3 Mg ha-1, regardless of the succession system, in the joint analysis of agricultural years.

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Stay-green character and its contribution in Brazilian wheats

Abstract: ABSTRACT:The stay-green character has been related to greater stress tolerance and yield through longer activity of the photosynthetic apparatus. Association

Cited by 6 publications

References 15 publications

Capturing and Selecting Senescence Variation in Wheat

Capturing and Selecting Senescence Variation in Wheat

Delaying or Delivering: Identification of novel NAM-1 alleles which delay senescence to extend grain fill duration of wheat

Efficiency of nitrogen use by wheat depending on genotype and previous crop

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