Salinity tolerance selection of doubled-haploid rice lines based on selection index and factor analysis

Abstract

<abstract> <p>The development of tolerant rice varieties using doubled-haploid technology is necessary to speed up the release of a variety tolerant to salinity stress. However, this requires a reliable screening method and selection index model for enhancing selection effectiveness. One approach is through the development of a selection index based on factor analysis under soil salinity screening in the greenhouse. The objective of this study was to develop a selection index model based on factor analysis and select tolerant doubled-haploid lines under high salinity conditions. The experimental design used was a split-plot design with salinity stress treatments as the main plot, i.e., normal (0 mM NaCl) and saline (25 mM NaCl ~ 5.6–5.8 dS/m) and 42 genotypes as the subplot. The genotypes consisted of 36 doubled-haploid lines, four commercial varieties, and two check varieties. The results indicated that a salinity selection index model involving yield and productive tiller traits could be used for selecting rice genotypes tolerant to salinity stress in soil artificial screening. This index which was developed through a combination of factor analysis, stress tolerance index (STI), and path analyses have identified 15 doubled haploid rice lines which were considered as good tolerant lines under salinity stress in soil artificial screening.</p> </abstract>

Genetic Parameters and Selection Index of High-Yielding Tomato F2 Populations

“…The interaction between genotype and control can indicate the instability of the appearance of a cultivar in various environments (Dhillion et al, 2009;Dev et al, 2009). In general, significant variance is the initial basis for determining the effectiveness of a character selection character (Sabouri et al, 2008;Anshori et al, 2022;Litrico and Violle, 2015;Priyanto et al, 2018). Therefore, the source of diversity is an essential requirement for line selection in augmented design.…”

“…Hence, the use of path analysis can determine causal relationships and sort out the direct and indirect effects (Li, 1956;Singh and Chaudary, 2010;Kumar et al, 2014;Anshori et al, 2021;Gani et al, 1995), as well as, calculate the characters that contributed significantly to the increase in yield (Abdulkhaleq and Tawfiq, 2014). Still, the direct use of path analysis on many characters becomes inefficient, and it needs filtering with a significant correlation analysis on yield as the main character (Anshori et al, 2021(Anshori et al, , 2022. Both analyses showed that character, total fruit number, diameter, and weight directly influence yield.…”

“…In this study, setting the selection criteria used a systematic concept to determine the weight of each criterion. Several methods developed for the selection index include both subjective (Hidayatullah et al, 2018), objective (Anshori et al, 2021(Anshori et al, , 2022, and semi-objective (Sabouri et al, 2008;Alsabah et al, 2019). This study considered semi-subjective weighting as a good choice.…”

“…Based on this, the concept of Alsabah et al (2019) can be applied in the development of weighting, where the character fruit diameter is multiplied by two as a stable character. Although, using this direct influence also needs correcting with the value of determination (Anshori et al, 2022) The selection index showed 75 expected tomato lines, with two concepts involved in making the selection. The first was the comparison with control plants (Suwarno et al, 2009;Anshori et al, 2021Anshori et al, , 2022, while the second was using positive values on index values as a basis for selection (Peternelli et al, 2017;Anshori et al, 2021;Padjung et al, 2021).…”

“…Although, using this direct influence also needs correcting with the value of determination (Anshori et al, 2022) The selection index showed 75 expected tomato lines, with two concepts involved in making the selection. The first was the comparison with control plants (Suwarno et al, 2009;Anshori et al, 2021Anshori et al, , 2022, while the second was using positive values on index values as a basis for selection (Peternelli et al, 2017;Anshori et al, 2021;Padjung et al, 2021). Based on the parental genotypes, the cultivar Mawar showed good potential in forming the F 2 base populations.…”