Genetic gain prediction for wheat with different selection criteria

Cargnin, Adeliano; Souza, Moacil Alves de; Machado, Carla Gomes; Pimentel, Adérico Júnior Badaró

doi:10.12702/1984-7033.v07n04a01

Cited by 11 publications

(9 citation statements)

References 11 publications

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“…Taking into account the Smith and Hazel index, in which standard deviation (SD) was used as an economic weight, we observed higher gains for NT in the first and second cuts (47.66% and 76.99%) (Table 5), being higher than those of direct and indirect selection for the same trait. Likewise, the same result was reported when using families of other crops such as popcorn (Amaral Junior et al 2010) and wheat (Cargnin et al 2007). Moreover, Costa et al (2008) reported high genetic gains by selection index in 32 soybean families using SD as economic weight.…”

Section: Resultssupporting

confidence: 71%

Selection among and within full-sib families of elephant grass for energy purposes

Silva

Daher

Menezes

et al. 2018

Crop Breed. Appl. Biotechnol.

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Pennisetum purpureum Schum. has been a key alternative as an energy source in Brazil because of its higher dry matter accumulation and fiber content. This research aimed to select superior individuals of P. purpureum for energy purposes using among-and-within family selection. The study was carried out in Campos dos Goytacazes-RJ (Brazil), using eight full-sib families. Plants were individually assessed during two pasture cuttings, one in 2014, and another in 2015. The dry matter production (DMP) was correlated with the number of tillers, stem diameter, plant height, and neutral detergent fiber content. Plant selection criteria in both cuts were through direct and indirect selections, and Smith and Hazel index. A joint analysis of variance showed significant differences for all five traits assessed in both cuts. The results achieved with Smith and Hazel index were promising for simultaneous selection of the evaluated traits, favoring selection of superior families and individuals them.

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Section: Resultssupporting

confidence: 71%

Selection among and within full-sib families of elephant grass for energy purposes

Silva

Daher

Menezes

et al. 2018

Crop Breed. Appl. Biotechnol.

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“…It can be concluded that selection via an index which gives proper weight to each trait is more efficient than selection for individual traits at a time or for several traits with an independent culling level for each trait (Hazel 1943;Mohammadi et al 2013). In addition, simultaneous selection for multiple traits in wheat genotypes increases the success of drought breeding programs (Cargnin et al 2007). In the present study, the results showed due to the interrelationship between traits, genotypes with higher grain yield may not necessarily be among the top rankings based on the Smith-Hazel model.…”

Section: Discussionmentioning

confidence: 62%

“…In sweet corn, Smith-Hazel was found to be more efficient than Base Index (BI) and Desired Genetic Index (DSI) in improving the aggregate traits (Asghar et al 2010). In a study by Cargnin et al (2007), estimation of the genetic progress for selection of wheat agronomic traits illustrated that the indices Brim-William (Williams 1962) and Pesek and Baker (1969) with the economic weight of one unit were slightly superior to Smith-Hazel index. Nonetheless, in some studies (Cruz et al 1993;Bertoldo et al 2010;Salehi and Saeidi 2013;Jafarzadeh-Ghahdarijani et al 2014) genetic gain with the Smith-Hazel has been higher than that predicted by other indices.…”

Section: Introductionmentioning

confidence: 99%

Construction and Efficiency of Selection Indices in Wheat (Triticum aestivum L.) under Drought Stress and Well-Irrigated Conditions

Ghaed-Rahimi

Heidari

Dadkhodaie

2017

Plant Breed. Biotech.

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This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. ABSTRACT Aggregate selection helps making selection decisions for improved profitability and permits to exploit information on correlated traits to improve accuracy. In the present study, the efficiency of trait selection was assessed by the Smith-Hazel (SHI) and the Pesek-Baker (PBI) models in 35 wheat genotypes under drought stress at heading and well-irrigated conditions at the Research Farm of Shiraz University, Iran in 2011 and 2012 years. The analysis of correlated response (CR) revealed that thousand grain weight (TGW) with CR = 24.05 (in 2011) and 9.15 (in 2012) and harvest index (HI) with CR = 18.37 (in 2011) and 9.08 (in 2012) had higher indirect effects on grain yield (GY) increase under drought stress. In both years, biological yield (BY), grain number/spike (GN), TGW, and GY had the highest genetic gain (ΔG) in SHI model. The top ten landraces in PBI for the trials in 2011 were also placed in the top rankings for grain yield under drought stress conditions. These results and estimation of the efficiency of selection (ΔH) revealed that PBI (ΔH = 19.95 and 16.5 in the first and 11.15 and 11.06 in the second year) was more efficient than SHI (ΔH = 9.58 and 8.97 in the first and 9.74 and 8.59 in the second year) in view of identifying superior genotypes based on aggregate trait selection. Overall, repeatability estimates for grain yield (33%-57.8%) was relatively low showing that individual plant selection has low efficiency for wheat improvement whilst aggregate trait selections leads to relatively high genetic gain (1.63-2.75) for grain yield.

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“…In the CIMMYT wheat breeding program, a large number of advanced lines are tested each year in a wide range of environmental conditions, which enables the identification of widely adapted wheat lines. Studies have shown that simultaneous selection in multiple environments improves the chances of success in breeding programs (Cargnin et al, 2007). The importance of grain weight in stress adaptation was also seen the results.…”

Section: Breeding Strategy For Heat and Drought Tolerancementioning

confidence: 79%

“…Studies have shown that simultaneous selection in multiple environments improves the chances of success in breeding programs (Cargnin et al, 2007). While both heat and drought stress may employ different stress tolerance mechanisms, strategic crossing and evaluations can lead to the development of wheat lines with combined heat and drought tolerance.…”

Section: Breeding Strategy For Heat and Drought Tolerancementioning

confidence: 99%

Characterization of Heat‐ and Drought‐Stress Tolerance in High‐Yielding Spring Wheat

et al. 2015

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Unpredictable temperature and rainfall patterns have increased global concerns about sustaining current levels of wheat (Triticum aestivum L.) production. Although many international breeding programs are focused on developing high‐temperature and drought‐stress tolerant wheat varieties, changing weather patterns has increased the need to develop widely adaptable wheat varieties. Research was conducted to identify the potential resilience of spring wheat lines to heat and drought stresses and to define phenotypic and physiological traits that are associated with stress adaptation. A trial consisting of 28 newly developed spring wheat lines and two checks was tested under optimal, heat‐, and drought‐stress conditions for 2 yr in Ciudad Obregon, Mexico. Phenotypic and physiological data was recorded in all environments. While a 50% reduction in mean grain yield was observed due to heat and drought stress, two distinct groups of stress‐adapted lines were identified. In the first group, the wheat lines performed well in either heat‐ or drought‐stress environment, and in the second group there were lines that produced high yields in optimal conditions and maintained higher yields under high temperature and drought stresses, with a yield advantage of 7 to 8% above the check varieties in the trial. Of the traits studied, grain weight per tiller (GWT) had significant influence in stress adaptation. Although heat‐ and drought‐stress tolerance may involve different mechanisms, the results of this study show that it is possible to develop high‐yielding heat‐ and drought‐tolerant wheat varieties.

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Genetic gain prediction for wheat with different selection criteria

Cited by 11 publications

References 11 publications

Selection among and within full-sib families of elephant grass for energy purposes

Selection among and within full-sib families of elephant grass for energy purposes

Construction and Efficiency of Selection Indices in Wheat (Triticum aestivum L.) under Drought Stress and Well-Irrigated Conditions

Characterization of Heat‐ and Drought‐Stress Tolerance in High‐Yielding Spring Wheat

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