{"id":"W2172204434","doi":"10.5539/jas.v4n9p1","title":"Estimation of Combining Ability and Gene Action for Improvement Drought Tolerance in Bread Wheat (Triticum aestivum L.) Using GGE Biplot Techniques","year":2012,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biplot; Drought tolerance; Randomized block design; Diallel cross; Hybrid; Water-use efficiency; Agronomy; Heterosis; Grain yield; Mathematics; Biology; Yield (engineering); Biotechnology; Genotype; Irrigation; Gene; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007586238,0.0005582625,0.0005661659,0.00191539,0.0001809739,0.0002931877,0.0002038487,0.0001349476,0.0005359353],"category_scores_gemma":[0.0005341053,0.0001741057,0.0005099711,0.001482267,0.0002099051,0.000193436,0.000207283,0.0004752786,0.0001154329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003358736,"about_ca_system_score_gemma":0.0001943925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001677322,"about_ca_topic_score_gemma":0.001818747,"domain_scores_codex":[0.9992738,0.0002208951,0.00005160162,0.000208469,0.0001938447,0.00005144727],"domain_scores_gemma":[0.9994117,0.0002137206,0.0001701698,0.00006514927,0.00006513113,0.00007408758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006039831,0.0002758577,0.02520458,0.0001124922,0.0001546014,0.00009941414,0.0002278131,0.00100093,0.9403614,0.0001352633,0.0001282314,0.03169541],"study_design_scores_gemma":[0.00003235792,0.001192499,0.9306955,0.00000649498,0.0001113641,0.0002209024,0.00008574196,0.006204644,0.06013043,0.0001423863,0.001140597,0.00003702625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834055,0.0002285003,0.01463975,0.00002533376,0.000008828425,0.00004457872,0.001055672,0.0001701362,0.0004218029],"genre_scores_gemma":[0.9569861,0.0002180853,0.03870371,0.00002455597,0.000007110932,0.0001839935,0.002821134,0.00007586918,0.0009794742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00191539,"threshold_uncertainty_score":0.004011989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04449653241431801,"score_gpt":0.2753826796088272,"score_spread":0.2308861471945092,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}