The Use of Selection Indices in Maize (Zea mays L.)

Yousaf, Mohammad

doi:10.1007/978-1-4684-2886-5_24

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…Submitted for publication. Mehndiratta, 1970;Thurling, 1974;Singh and Singh, 1976;Yousaf, 1976). Such calculations are useful in identifying the important correlated traits.…”

Section: Application Of Index Selectionmentioning

confidence: 99%

Selection Indices for the Improvement of Opaque‐2 Maize¹

Martin¹,

Loesch²,

Demopulos-Rodriguez³

et al. 1982

Crop Science

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The need to improve agronomic and protein and kernel quality characters in opaque‐2 maize (Zea mays L.) mandates consideration of multiple traits in selection. Data from genetic studies in an opaque‐2 maize synthetic were used to calculate selection indices for use in recurrent selection. Grain yield was considered the only trait having explicit economic value. Restricted indices were used to achieve satisfactory gains in kernel hardness, moisture content, and protein content and quality.The most important traits with respect to achieving the specified selection goals were yield, moisture content, kernel hardness, lysine content, kernel weight, and the degree of light transmission by kernels. Indices incorporating five traits were more efficient in that the addition of a sixth trait contributed very little to expected gains. The most effective combinations of traits for a recurrent selection scheme involving S1 testing were also the most effective for S2 testing and full‐sib testing.The degree to which gains predicted for an index were dependent on accurate estimates of the population parameters was considered. Indices having weights that implied reliance on indirect rather than direct selection response were not recommended.Substitution of single‐plant data for data from replicated progeny tests was considered in connection with each breeding scheme. The possibility of increasing the effective selection intensity, given that resources for replicated testing were fixed, by culling individual plants was investigated, but the use of individual plant data did not increase expected gain.A measure of subjective judgment on the part of the breeder is probably required for the successful application of selection indices to complex problems.

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“…Submitted for publication. Mehndiratta, 1970;Thurling, 1974;Singh and Singh, 1976;Yousaf, 1976). Such calculations are useful in identifying the important correlated traits.…”

Section: Application Of Index Selectionmentioning

confidence: 99%

Selection Indices for the Improvement of Opaque‐2 Maize¹

Martin¹,

Loesch²,

Demopulos-Rodriguez³

et al. 1982

Crop Science

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“…They found the base index method to be the most effective when selecting for resistance to four alfalfa (Medicago sativa L.) foliar diseases and improved recovery after cutting. Although in many plant breeding practices, the use of selection indices has been more effective than direct selection (Smith, 1936;Paul et al, 1976;Yousaf, 1977;Gaur et al, 1978;Singh and Dala, 1979;Openshaw and Hadley, 1984;Ravel et al, 1995;Ram et al, 1997;Rabiei et al, 2004), there are only few reports of index selection in alfalfa. Singh (1978) calculated several selection indices for seed yield in alfalfa, and concluded that none would be more efficient than direct selection for seed yield.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Selection Indices for Alfalfa (Medicago sativa L.)

Monirifar

2010

Not Sci Biol

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In order to evaluate the efficiency of selection indices in alfalfa improvement, an experiment was conducted from 2000 to 2007 at East Azarbaijan Agricultural and Natural Resources Research Center, Iran. A set of 29 native ecotypes, which were collected in 2000 and 2001 from Azerbaijan (Iran), together with one improved variety were used to conduct a polycross nursery. For the purpose of random mating, a randomized complete block design was used with 12 replications arranged in this nursery. The resulting 30 half-sib families were planted individually in pots and the 30 days old seedlings were transplanted to the field in May, 2004. Each 3-row plot consisted of 45 HS plants. Several traits, such as individual plants' fresh weight and individual plants' dry weight (IPFW, IPDW), number of shoots per plant (NS) and plant height (PH) in each harvest and also, days until 10% flowering, the ratio of fresh and dry weight of leaves/plant and size of trifoliate leaves were measured for three cropping seasons. The results of analysis of variance showed large variation among polycross progenies. Six selection indices (I i ) with different number of traits at adult plant stage were evaluated. Based on the result of this investigation, if number of shoots and height of adult plant, excluding yield, are recorded, I 2 is suggested. If, in addition to fresh yield, height of adult plant is measured, I 6 is recommended. I 4 is useful when number of shoots and plant height with dry yield are included in the index. In conclusion, the importance of mature plant traits in selection indices was in the order of yield > plant height > number of shoots. The results provided more evidence that selection indices incorporating the component of dry yield are more advantageous. The most efficient selection index consisted of NS, IPDW and PH, having a relative efficiency of 280%.

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Selection Indices for Yield Improvement of Sunflower under Normal and Salt Stress Conditions

Ahmadpour

Darvishzadeh

Sofalian

2018

jcb

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One of the effective indirect selections methods for improving grain yield and its components is the selection index. In order to develop a suitable selection index for simultaneously increasing yield and its related traits, 100 sunflower inbred lines from different geographical origins were evaluated in randomized complete block designs with three replications at Urmia University in 2015 under normal and salt stress (8 dS/m) conditions. Smith-Hazel and Pesek-Baker indices based on 6 traits including plant high, head diameter, leaf number, one hundred seed weight, head dried weight and grain yield, as well as direct and correlated response of these traits were calculated in each one of salt stress conditions. Correlations between grain yield and selection indices were computed. The highest correlated responses were observed for plant height via seed yield (32.16) and for grain yield via head diameter (14.21) at normal and salt stress conditions, respectively. Head diameter with the highest correlated response for seed yield at normal and salt stress conditions can be considered as a suitable indirect trait for improving seed yield under both conditions. Smith-Hazel's third indices and Pesek-Bakker's third indices showed high heritability (0.76, 0.78), genetic correlations (0.87, 0.88) and relative efficiency (0.87, 0.88) and they help to identify the most superior genotypes same to direct selection by grain yield (16, 18) under both conditions. So, selection based on these indices potentially screens the high yielding lines. Based on results, the line '71' is introduced as superior line in normal and salt stress conditions.

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The Use of Selection Indices in Maize (Zea mays L.)

Cited by 4 publications

References 11 publications

Selection Indices for the Improvement of Opaque‐2 Maize¹

Selection Indices for the Improvement of Opaque‐2 Maize¹

Evaluation of Selection Indices for Alfalfa (Medicago sativa L.)

Selection Indices for Yield Improvement of Sunflower under Normal and Salt Stress Conditions

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The Use of Selection Indices in Maize (Zea mays L.)

Cited by 4 publications

References 11 publications

Selection Indices for the Improvement of Opaque‐2 Maize1

Selection Indices for the Improvement of Opaque‐2 Maize1

Evaluation of Selection Indices for Alfalfa (Medicago sativa L.)

Selection Indices for Yield Improvement of Sunflower under Normal and Salt Stress Conditions

Contact Info

Product

Resources

About

Selection Indices for the Improvement of Opaque‐2 Maize¹

Selection Indices for the Improvement of Opaque‐2 Maize¹