Grain yield stability of black soybean lines across three agroecosystems in West Java, Indonesia

Abstract

Black soybean (Glycine soja (L.) Merril) is one of the potential agricultural commodities in Indonesia. The multilocation trial is the primary requirement for variety release before farmers can widely use the new varieties. Various stability measurements on grain yields will provide more accurate information in selecting superior lines. The aims of the study were to: (i) identify the effect of genotype by environment interactions (G×E) on black soybean grain yields; (ii) select the black soybean lines with stable and high grain yields in different agroecosystems; and (iii) determine the best representative environment for testing black soybean lines. The field trials used an augmented design that was applied in three blocks for each location. The research was conducted in West Java, Indonesia, specifically in Sumedang, Indramayu, and Majalengka. The three locations are traditionally soybean production areas in West Java. The results showed that G×E significantly affected grain yields, with a contribution of 38.35%. Based on the results of stability testing using parametric, non-parametric, and genotype plus genotype by environments (GGE) biplot measurements, the G13, G22, G25, and G26 lines were considered the most stable and produced the highest yields in the three agroecosystems. In addition, Sumedang is the most representative location for testing black soybeans in Indonesia. Therefore, the four lines can be proposed as new superior lines for black soybeans with high yields and stability in three environments. Information about the relationship between the yield stability parameters can be used for the most accessible parameter selection.

Genotype-by-environment interactions (GEIs) and evaluate superior sweet potato (Ipomoea batatas [L.] Lam) using combined analysis and GGE biplot

“…The effect of GEIs decreases the relationship between genotype and phenotypic values, and also makes it difficult for breeders to select superior genotypes [ [6] , [7] , [8] ]. Therefore, interpreting GEIs in multilocation tests is very helpful in determining the stability of genotypes in diverse environments, or adaptive to specific environments [ [8] , [9] , [10] , [11] ]. Numerous methods have been suggested to analyze GEIs, adaptability and stability of genotypes under diverse environmental conditions.…”

The Sustainability Index and Other Stability Analyses for Evaluating Superior Fe-Tolerant Rice (Oryza sativa L.)

“…However, GEIs make the selection process difficult and inefficient under various environmental conditions [7,13,14]. Several studies have reported that GEIs complicate the selection process in sweet potatoes [7,15], durum wheat [16], soybeans [17][18][19], maize [20], Stevia [21], and turmeric [22]. Therefore, a study is needed to evaluate Fe-resistant rice genotypes under a wide range of environmental conditions to obtain superior genotypes (high and stable yields).…”

Stability Analysis to Select the Stable and High Yielding of Black Soybean (Glycine max (L) Merril) in Indonesia

“…Similarly, Karuniawan et al, [31] used numerical measurements, AMMI, and GGE biplot to select stable sweet potatoes in West Java, Indonesia. Several other studies also reported the relative contribution of these various measurements to identify the ideal line, including on barley [43], on maize [44,45], on safower [46], on stevia [47], and soybean [48,49]. From our test results, there were four new soybean lines that were identifed as stable and highyielding by various stability measurements, namely A-5A-PSJ (S2), DB-96-CTY (S5), UP 161 (S6), and UP 162 (S7).…”