Treffer: Multi-trait selection of doubled haploid green super rice lines for good agronomic performance and brown planthopper resistance using MGIDI.

Rice is a staple food for Asian people. Green super rice (GSR) features improved quantity and yield quality, resistance to major pests and diseases, and adaptability to planting in less favorable conditions. This study aimed to assess the agronomic performance of doubled haploid (DH) lines in advanced yield trials, select the best lines for multi-location yield trials, and evaluate resistance to brown planthopper (BPH) using the multi-trait genotype-ideotype distance index (MGIDI). The advanced yield trials were conducted at three locations in Indonesia—Indramayu (West Java), Bogor (West Java), and Malang (East Java)—from August 2022 to January 2023. Evaluation of the DH lines to brown planthopper was conducted in the greenhouse of the Center for Standard Instruments Testing of Rice, West Java, Indonesia, from October 2023 to January 2024. The materials used were 27 DH GSR lines and 3 check varieties (Inpari IR Nutri Zinc, Inpari 42 Agritan GSR, and Inpari 18) for advanced yield trials, and 20 DH GSR lines, two check varieties (Inpari 42 Agritan GSR and Inpari 18), two resistant checks (PTB33 and IR74), and a susceptible check (TN1) for evaluation of BPH resistance. The experiment used a randomized complete block design with three replications. The results showed that the genotype × environment interaction had a significant effect on all agronomic traits. Nine DH lines (SN11, 14, 32, 40, 51, 57, 58, 59, and 60) had high yield, and among those, six (SN 40, 51, 57, 58, 59, and 60) had better resistance to BPH based on MGIDI selection. SN11 has a yield of 5.04 ton·ha⁻¹ and is moderately resistant to BPH biotype 1. Lines SN57, 58, 59, and 60 have yields ranging from 5.29 to 5.67 ton·ha⁻¹ and are resistant to all tested BPH. SN51 has a yield of 5.07 ton·ha⁻¹ and is moderately resistant to all tested BPH. Those six lines are stable according to Kang's method and can be further evaluated to determine their adaptations across multiple environments. [ABSTRACT FROM AUTHOR]

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