<mods:mods version="3.3" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mods:titleInfo><mods:title>Field screening for drought tolerance - principles and illustrations</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">F R</mods:namePart><mods:namePart type="family">Bidinger</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>Establishing a screening procedure for genetic differences in drought tolerance&#13;
involves 1) practical decisions on the objectives of such a screening program,&#13;
2) the selection of environment(s) and stress occurrence(s) to be targeted in&#13;
the program, and 3) the design and operation of field physical facilities and&#13;
experimental methods to apply a uniform, repeatable drought stress. This&#13;
paper considers these points from a conceptual and a practical viewpoint.&#13;
Drought tolerance can be approached on various plant organizational&#13;
levels, from crop yield stability under stress, through responses to stress&#13;
indicative of tolerance, to the biological mechanisms that underlie these&#13;
responses, to the genes and alleles governing the presence or expression of the&#13;
responses/mechanisms. Defining stress tolerance at each level has specific&#13;
advantages and disadvantages for designing a field-screening program. Work on&#13;
pearl millet has mainly focused on the crop tolerance response level, targeting&#13;
the relative ability of genotypes to maintain grain numbers per panicle and&#13;
seed filling in terminal stress environments.&#13;
Target environments and target stress occurrences for a screening&#13;
program must be established from the analysis of historical climate data.&#13;
Water budgeting is probably the minimum level, but opportunities to use crop&#13;
simulation modeling for this purpose are improving. Establishing screening&#13;
systems with environmental conditions representative of the target&#13;
environment, is difficult, involving a major tradeoff between providing&#13;
representative daylength, vapor pressure, and temperature conditions, and&#13;
easily managing soil water/rainfall. In contrast, duplicating target environment&#13;
moisture patterns in non-target environments is easier, but G x E effects can&#13;
be a problem.&#13;
The effectiveness of a drought screening procedure is best measured by&#13;
the genetic heritabilities achieved for target traits, whether the focus is nurseries therefore requires careful analysis of likely sources of nongenetic&#13;
variation among plots, replications, and repeated experiments, and seeing that&#13;
these are minimized. These include 1) the choice of site for screening, 2) the&#13;
physical management of both water-related and non water-related sources of&#13;
variation in crop growth within and across experiments, 3) the choice of&#13;
experimental design and the effective use of blocking to remove expected&#13;
sources of nonmanageable variation, and 4) the efficient collection and&#13;
management of data. These considerations are illustrated here with examples&#13;
from the pearl millet drought screening system used at ICRISAT.</mods:abstract><mods:classification authority="lcc">Agriculture-Farming, Production, Technology, Economics</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2002</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>International Crops Research Institute for the Semi-Arid Tropics </mods:publisher></mods:originInfo><mods:genre>Book Section</mods:genre></mods:mods>