Alpha Grace B. Tabanao

THE NEW MULTI-ENVIRONMENT TESTING (MET) SCHEME FOR IRRIGATED RICE IN THE PHILIPPINES INTRODUCTION PC1 – 42.4% PC2 – 33.2% The International Rice Research Institute (IRRI) established in 2011 an exhaustive evaluation of early generation breeding products with the aim of improving overall breeding efficiency. The new multi-environment varietal testing (MET) system was initiated for irrigated lowland rice. From one-stage (MET1) with 3 initial sites, it has now expanded into 3 stages (MET0, MET1 and MET2) with 12 (7 local and 5 foreign) sites and is expected to expand further. METHODOLOGY In 2012, for irrigated rice, MET2 was introduced in the new MET scheme with 140 entries tested and MET1 was downsized to 600 entries. Both stage have used the row-column design in the experiment with two (2) replications for the two(2) modules: early flowering group (Module1) and the medium/late flowering group (Module2) . In 2013, MET has expanded to three stages namely MET0, MET1 and MET2. The MET0 has 472 test entries plus 8 checks. For Module1, the Augmented Latin Square design was used and the Augmented RCB was applied in Module2 utilizing a 0.5 hectare land. For MET1, there were 220 test entries plus 8 checks , using the Row-Column design with 2 replications for each module on a 0.5 hectare area. MET2 has 82 test entries only with 8 checks, also using the Row -Column design with 2 replications on a 0.25 hectare area. The new MET scheme can be seen on the flowchart below. PC1 -34.1% PC2 – 26.8% 2012DS MET2_Module2 2012DS MET2_Module1 For the wet season, the additional site Midsayap (MD), NE and IS showed great contribution to the GxE interaction for both modules in the sites. PC1 – 55.1% PC2 – 23.3% PC1 – 34.8% PC2 – 29.2% 2012WS MET2_Module2 2012WS MET2_Module1 Based on their AMMI Stability Values (ASV) and the Yield Stability Index (YSI) the top 5 high-yielding genotypes for each module are given below: Module1 Geno MT4554 MT4543 MT4634 MT4004 MT4538 Fixed Name GYmeans GYRank ASV ASVRank YSI YSI Rank PR- PR37990-3B- PR37942-3B- HHZ 8-SAL 6-SAL 3-Y- PR- Module2 Geno Fixed Name MT4841 MT4843 MT4829 MT4903 MT4353 PR- PR37952-B-4-1-3 PR38012-3B-3-1 IRRI 154 (check) IR 07A179 GYmeans GYRank- 1 4 8 3 13 ASV ASVRank YSI YSI Rank- 4 7 4 9 1 - 1 2 1 3 2 *Those in black-ink represents the dry season and the red-ink, the wet season. The local MET sites include Nueva Ecija, Isabela, Agusan del Norte, Laguna, Bohol, Midsayap and Bukidnon. The foreign sites which only used MET2 are Indonesia, Sri lanka, Vietnam, Cambodia, Myanmar and Thailand. The analysis results’ for this poster are only focused on the local sites. For the 2013 dry season, using the Genotype + GenotypexEnvironment (GGE) Biplot, the most discriminating site is Isabela (IS) for Module1 and Nueva Ecija (NE) for Module2. Module1 Location NE IS AG LB BH MD - Fixed Name Origin Yield Best Check (BC) BC Yield IR 08N136 IRRI 9.44 NSIC Rc132H (Mestizo 6) 9.97* PR37939-3B-1-2 PhilRice 6.23 NSIC Rc132H (Mestizo 6) 6.00 IR 08N136 IRRI 4.46 PSB Rc10 3.58 PR- IRRI 6.66 NSIC Rc132H (Mestizo 6) 6.31 IR 10N186 IRRI 6.23 NSIC Rc132H (Mestizo 6) 6.29* IR 08N136 PhilRice 8.03 PSB Rc82 7.59 CV (%- * Top-yielding in the site The MET entries ‘which-won-where’ are the entries at the vertices of the polygon also called as the “winning cultivars” (most responsive entries) to the environments sharing the sector or adjacent to the entries. 2013 MET Sites RESULTS Robust statistical and genotypic analyses were applied to MET data to exploit all the available data. Genotyping and assessment of the genetic diversity of the IR lines/entries in MET2012 DS and the different breeding lines/entries in MET2013 was conducted using the Illumina BeadXpress 384-plex SNP platform. Genetic distance was computed using Cavalli-Sforza 1967 (as seen below) and the dendrograms were constructed using neighborjoining method (PowerMarker V3.25). Only polymorphic SNP markers were selected for the genetic diversity analysis. Module2 Location NE IS AG LB BH MD 2012 DS MET Stage 2 - Fixed Name PR38012-3B-3-1 IR 04A115 PR37704-2B-6-1-2-1-1 PR38012-3B-3-1 PR34859-B-4-1-1-2-1(G) PR38012-3B-3-1 Origin PhilRice IRRI PhilRice PhilRice PhilRice IRRI Yield Best Check (BC) BC Yield 9.15 NSIC Rc124H (Mestizo- NSIC Rc- NSIC RC- NSIC Rc- NSIC Rc124H (Mestizo 4) 4.69* 7.68 NSIC Rc158 7.32 CV (%- * Top-yielding in the site Recent Developments Cluster 3 Cluster 4 2013 DS MET Stage 2 Cluster 1 From the 2013DS, MET stage 2, 12 entries were advanced to 2014DS NCT of which 9 were irrigated lines and 3 GSR entries. IRRI’s MET continues to expand. In fact, it is looking forward to testing entries in the rainfed lowland rice starting this wet season of 2014. Cluster 2 • 345 SNP markers • Genetic distances: • Overall: 0.32 • Cluster 1 (11): 0.31 , Cluster 2 (20): 0.30 • Cluster 3 (30): 0.32 , Cluster 4 (27): 0.34 MET 1 mod 1 - 150 entries (312 SNP markers) MET 1 mod 2 – 66 entries (296 SNP markers) MET 2 mod 1 – 54 entries (365 SNP markers) MET 2 mod 2 – 17 entries (353 SNP markers) Additive Main effect and Multiplicative Interaction (AMMI) analysis was done to identify the sites that are main contributors to the genotype by environment interaction. The AMMI Stability Values (ASV) and Yield Stability Index (YSI) were also derived to determine the high-yielding and stable entries across sites. The lower the ASV and the YSI the more stable the entry is. In 2012, for the dry season, both Nueva Ecija (NE) and Isabela (IS) were the main contributors to the GxE interaction both for Modules 1 and 2 as shown in the AMMI Biplot of the entries’ yield below. Laguna (LB) is just on the average, while the least contributors are Bohol and Agusan del Norte as shown by the short spikes in the biplots. Authors: Alpha Grace B. Tabanao1*, Alvaro M. Pamplona1, Angelito G. Galang1, Ma. Anna Lynn A. Sevilla1, Ma. Concepcion U. Toledo, Rona Xyra D. Andam1, Arma Kristal B. Malijan1, Joseph M. Vicente1, Violeta I. Bartolome1, Leilani A. Nora1, Thelma F. Padolina2, Rustom C. Braceros2, Democrito B. Rebong II3, Cherry Ann A. Dumahin3, John Peter Paul N.Turnos4, Mary Jean C. Du5, Rosie Subrio5 , Sailila E. Abdula6 , Andy Godwin Sajise1 and Edilberto D. Redoña1. 1International Rice Research Institute, Los Baños, Laguna 2Philippine Rice Research Institute, Muñoz, Nueva Ecija 3Philippine Rice Research Institute, San Mateo, Isabela 4Philippine Rice Research Institute, RTR, Agusan del Norte 5Department of Agriculture, Region VII 6Philippine Rice Research Institute, Midsayap