The Senescence (Stay-Green)—An Important Trait to Exploit Crop Residuals for Bioenergy

Eduardo D. Munaiz, Susana Martínez, Arun Kumar, Marlon Caicedo and Bernardo Ordás
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Eduardo D. Munaiz: KWS SAAT SE & Co.KGaA, Grimsehlstr. 31, 37574 Einbeck, Germany
Susana Martínez: 3edata, I+D. Centro de Iniciativas Empresariales, Fundación CEL. O Palomar s/n, 27004 Lugo, Spain
Arun Kumar: School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana 141004, India
Marlon Caicedo: Instituto Nacional de Investigaciones Agropecuarias (INIAP), Quito 170315, Ecuador
Bernardo Ordás: Misión Biológica de Galicia (CSIC), Apartado 28, 36080 Pontevedra, Spain

Energies, 2020, vol. 13, issue 4, 1-22

Abstract: In this review, we present a comprehensive revisit of past research and advances developed on the stay-green (SG) paradigm. The study aims to provide an application-focused review of the SG phenotypes as crop residuals for bioenergy. Little is known about the SG trait as a germplasm enhancer resource for energy storage as a system for alternative energy. Initially described as a single locus recessive trait, SG was shortly after reported as a quantitative trait governed by complex physiological and metabolic networks including chlorophyll efficiency, nitrogen contents, nutrient remobilization and source-sink balance. Together with the fact that phenotyping efforts have improved rapidly in the last decade, new approaches based on sensing technologies have had an impact in SG identification. Since SG is linked to delayed senescence, we present a review of the term senescence applied to crop residuals and bioenergy. Firstly, we discuss the idiosyncrasy of senescence. Secondly, we present biological processes that determine the fate of senescence. Thirdly, we present the genetics underlying SG for crop-trait improvement in different crops. Further, this review explores the potential uses of senescence for bioenergy crops. Finally, we discuss how high-throughput phenotyping methods assist new technologies such as genomic selection in a cost-efficient manner.

Keywords: stay-green; senescence; bioenergy; breeding; high-throughput phenotyping; quantitative genetics; genetics; chlorophyll; maize and rice (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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