Literature DB >> 22996675

Sugarcane for water-limited environments. Genetic variation in cane yield and sugar content in response to water stress.

J Basnayake1, P A Jackson, N G Inman-Bamber, P Lakshmanan.   

Abstract

Water limitation is a major production constraint for sugarcane worldwide. However, to date, there has been little investigation of patterns of genetic variation in the response to water stress in sugarcane. Field experiments were conducted over 3 years under fully irrigated and managed water stress conditions at two locations in Northern Queensland in Australia. Eighty-nine genetically diverse clones were evaluated for their yield performance and sugar attributes. Water stress treatments reduced cane yield [tonnes of cane per hectare (TCH)] and total dry matter (TDM) by 17-52% and 20-56%, respectively, compared with irrigated treatments in the same experiments. Nevertheless, there was little genotype×environment interaction variation for TCH, TDM, or commercial cane sugar (CCS), and hence high genetic correlations between the irrigated and water stress treatments across environments. Both commercial and unselected clones performed poorly under severe stress environments, while the commercial clones outperformed the unselected clones under mild and moderate stress conditions. The results presented here highlight the contribution of intrinsic potential yields (yield under well-irrigated conditions) of some selected and unselected clones to maintain relatively high productivity in a range of moderate stress conditions imposed. The physiological basis for the high genetic correlations is at present unclear, but some explanations are hypothesized. The choice of stress levels in selection trials would not appear to be a critical issue for sugarcane breeding programmes, at least for the early phases of selection, where similar ranking clones across a range of moderate water stresses may be expected.

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Year:  2012        PMID: 22996675     DOI: 10.1093/jxb/ers251

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  13 in total

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Review 3.  Current breeding and genomic approaches to enhance the cane and sugar productivity under abiotic stress conditions.

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4.  Genetic variation in transpiration efficiency and relationships between whole plant and leaf gas exchange measurements in Saccharum spp. and related germplasm.

Authors:  Phillip Jackson; Jaya Basnayake; Geoff Inman-Bamber; Prakash Lakshmanan; Sijesh Natarajan; Chris Stokes
Journal:  J Exp Bot       Date:  2015-11-30       Impact factor: 6.992

5.  Physiological Plasticity Is Important for Maintaining Sugarcane Growth under Water Deficit.

Authors:  Paulo E R Marchiori; Eduardo C Machado; Cristina R G Sales; Erick Espinoza-Núñez; José R Magalhães Filho; Gustavo M Souza; Regina C M Pires; Rafael V Ribeiro
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Review 6.  Sugarcane Water Stress Tolerance Mechanisms and Its Implications on Developing Biotechnology Solutions.

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Journal:  Front Plant Sci       Date:  2017-06-23       Impact factor: 5.753

7.  Salt stress induces changes in the proteomic profile of micropropagated sugarcane shoots.

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Journal:  PLoS One       Date:  2017-04-18       Impact factor: 3.240

8.  Effects of Water Regime, Genotype, and Formative Stages on the Agro-Physiological Response of Sugarcane (Saccharum officinarum L.) to Drought.

Authors:  Jose Arnel O Reyes; Arvin S Carpentero; Primitivo Jose A Santos; Evelyn F Delfin
Journal:  Plants (Basel)       Date:  2020-05-23

9.  Full-length enriched cDNA libraries and ORFeome analysis of sugarcane hybrid and ancestor genotypes.

Authors:  Milton Yutaka Nishiyama; Savio Siqueira Ferreira; Pei-Zhong Tang; Scott Becker; Antje Pörtner-Taliana; Glaucia Mendes Souza
Journal:  PLoS One       Date:  2014-09-15       Impact factor: 3.240

10.  ScGAI is a key regulator of culm development in sugarcane.

Authors:  Rafael Garcia Tavares; Prakash Lakshmanan; Edgar Peiter; Anthony O'Connell; Camila Caldana; Renato Vicentini; José Sérgio Soares; Marcelo Menossi
Journal:  J Exp Bot       Date:  2018-07-18       Impact factor: 6.992

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