Projection to latent correlative structures, a dimension reduction strategy for spectral-based classification

Erny, Guillaume L.; Brito, Elsa; Pereira, Ana Bárbara; Bento-Silva, Andreia; Patto, María Carlota Vaz; Bronze, Maria Rosário

doi:10.1039/d1ra03359j

Cited by 4 publications

(1 citation statement)

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“…FT-IR spectroscopic patterns of a collection of 100 grass pea accessions have already been analysed by multivariate analysis to contribute to the development of an innovative classification approach that differentiated among five grain legume species allowing the identification of outliers in all the species. These accessions might in the future be associated with a specific biochemical composition to develop prediction models to introduce in breeding program [155]. The development of a reliable spectroscopic prediction model for β-ODAP in grass pea would represent an interesting advance for quality breeding.…”

Section: Increase Genetic Gainmentioning

confidence: 99%

Grass Pea (Lathyrus sativus L.)—A Sustainable and Resilient Answer to Climate Challenges

et al. 2022

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Grass pea (Lathyrus sativus L.) is an annual cool-season grain legume widely cultivated in South Asia, Sub-Saharan Africa, and in the Mediterranean region. It is a stress-resilient crop with high nutritional value, considered a promising source of traits to breed for adaptation/mitigation of climate change effects. It is also reported as a suitable crop for more sustainable production systems such as intercropping. In this review, we elaborate an integrative perspective including not only an agronomic-based but also a variety-breeding-based strategy in grass pea to deal with climate change impacts, summarizing the current knowledge on grass pea biotic/abiotic stress resistance. Additionally, we highlight the importance of implementing fundamental techniques to create diversity (as interspecific hybridization or gene editing) and increase genetic gains (as speed breeding or the efficient identification of breeding targets via genomics) in the development of multiple stress-resistant varieties that simultaneously provide yield and quality stability under climate vulnerable environments.

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Section: Increase Genetic Gainmentioning

confidence: 99%