Grain yield components of pearl millet under optimum conditions can be used to identify germplasm with adaptation to and zones

van Oosterom, E. J., Weltzien, E., Yadav, O. P. and Bidinger, F. R. (2006) Grain yield components of pearl millet under optimum conditions can be used to identify germplasm with adaptation to and zones. Field Crops Research, 96 2-3: 407-421. doi:10.1016/j.fcr.2005.08.008

Author van Oosterom, E. J.
Weltzien, E.
Yadav, O. P.
Bidinger, F. R.
Title Grain yield components of pearl millet under optimum conditions can be used to identify germplasm with adaptation to and zones
Journal name Field Crops Research   Check publisher's open access policy
ISSN 0378-4290
Publication date 2006-04-01
Sub-type Article (original research)
DOI 10.1016/j.fcr.2005.08.008
Open Access Status Not yet assessed
Volume 96
Issue 2-3
Start page 407
End page 421
Total pages 15
Place of publication Amsterdam, The Netherlands
Publisher Elsevier
Language eng
Subject C1
300201 Plant Biochemistry and Physiology
620104 Other cereals
0607 Plant Biology
0703 Crop and Pasture Production
Abstract There is evidence that high-tillering, small-panicled pearl millet landraces are better adapted to the severe, unpredictable drought stress of the and zones of NW India than are low-tillering, large-panicled modern varieties, which significantly outyield the landraces under favourable conditions. In this paper, we analyse the relationship of and zone adaptation with the expression, under optimum conditions, of yield components that determine either the potential sink size or the ability to realise this potential. The objective is to test whether selection under optimal conditions for yield components can identify germplasm with adaptation to and zones in NW India, as this could potentially improve the efficiency of pearl millet improvement programs targeting and zones. We use data from an evaluation of over 100 landraces from NW India, conducted for two seasons under both severely drought-stressed and favourable conditions in northwest and south India. Trial average grain yields ranged from 14 g m(-2) to 182 g m(-2). The landraces were grouped into clusters, based on their phenology and yield components as measured under well-watered conditions in south India. In environments without pre-flowering drought stress, tillering type had no effect on potential sink size, but low-tillering, large-panicled landraces yielded significantly more grain, as they were better able to realise their potential sink size. By contrast, in two low-yielding and zone environments which experienced pre-anthesis drought stress, low-fillering, large-panicled landraces yielded significantly less grain than high-tillering ones with comparable phenology, because of both a reduced potential sink size and a reduced ability to realise this potential. The results indicate that the high grain yield of low-tillering, large-panicled landraces under favourable conditions is due to improved partitioning, rather than resource capture. However, under severe stress with restricted assimilate supply, high-tillering, small-panicled landraces are better able to produce a reproductive sink than are large-panicled ones. Selection under optimum conditions for yield components representing a resource allocation pattern favouring high yield under severe drought stress, combined with a capability to increase grain yield if assimilates are available, was more effective than direct selection for grain yield in identifying germplasm adapted to and zones. Incorporating such selection in early generations of variety testing could reduce the reliance on random stress environments. This should improve the efficiency of millet breeding programs targeting and zones. (c) 2005 Elsevier B.V. All rights reserved.
Keyword Agronomy
Ge interaction
Individual grain mass
Grain number
Panicle size
Pennisetum-typhoides S
Americanum L Leeke
Temperate cereals
Simulating growth
Vegetative phase
Spring wheat
Q-Index Code C1
Institutional Status UQ

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 19 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 24 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Wed, 15 Aug 2007, 20:39:31 EST