Adaptability and stability of black oat genotypes using the GGE biplot analysis

Klein, Luis Antônio; Marchioro, Volmir Sergio; Toebe, Marcos; Olivoto, Tiago; Meira, Daniela; Alberti, João Vitor; Finatto, José Luiz Balansin; Garafini, Duana Cancian; Scaravonatto, Bruna; Azeredo, Nitiele Silva de; Ulbrik, Gaziela; Osmari, Carla Francine; Foguesatto, Caroline Bandeira

doi:10.1590/S1678-3921.pab2024.v59.03483

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Genetics / Original Article • Pesq. agropec. bras. 59 • 2024 • https://doi.org/10.1590/S1678-3921.pab2024.v59.03483 copy

Adaptability and stability of black oat genotypes using the GGE biplot analysis

Adaptabilidade e estabilidade de genótipos de aveia-preta com uso da análise GGE biplot

Authorship SCIMAGO INSTITUTIONS RANKINGS

Abstract

The objective of this work was to identify the most adapted and stable genotypes for dry mass and seed yield using the genotype plus environment interaction (GGE) biplot technique. The experiment was conducted in the municipality of Frederico Westphalen, in the state of Rio Grande do Sul, Brazil, in 2018, 2019, 2020, and 2021, using five lines and two cultivars of black oat, in a randomized complete block experimental design, with three replicates. The adaptability and stability of the genotypes, as well as their behavior in the environments, were evaluated using the GGE biplot. The seed yield of black oat genotypes is highly influenced by the environmental conditions over the four studied cultivation years. The UFSMFW 2-07 genotype stands out, but shows instability. The UFSMFW 2-07 and 'UPFA 21-Moreninha' genotypes show adaptability in specific years. Mega environments are formed for the dry mass trait in 2018 and 2021 and seed yield in 2018, 2020, and 2021, whereas, 2019 is considered the year for genotype discrimination.

Index terms:
Avena strigosa; environment-genotype interaction; genotype selection; seed yield

Source of variation	DF⁽¹⁾	Mean square
Source of variation	DF⁽¹⁾	Dry mass		Seed yield
Block/environments	8	463,500.44		9,031.89
Genotypes (G)	6	2,860,729.81^* * Significant at 5% probability of error.		1,604,300.16^* * Significant at 5% probability of error.
Years (Y)	3	55,801,139.70^* * Significant at 5% probability of error.		8,425,655.81^* * Significant at 5% probability of error.
G x Y	18	752,977.32^* * Significant at 5% probability of error.		391,446.61^* * Significant at 5% probability of error.
Error	48	280,534.21		21,046.00
Total	83
Mean (kg ha^-1)		7,333.07		2,283.16
CV (%)		7.22		6.35
S (%)		49.05		66.59
C (%)		50.95		33.41
Year		CV (%)	Mean (kg ha^-1)	CV (%)	Mean (kg ha^-1)
2018		7.83	7,823.11	7.40	2,917.01
2019		7.38	9,368.02	4.70	2,739.34
2020		2.94	6,520.22	6.91	1,721.50
2021		8.56	5,621.00	4.70	1,755.12

Genotype	2018		2019		2020		2021
	Dry mass (kg ha^-1)
UFSMFW 2-01	8,440.80	Aa	9,040.00	Ab	6,700.27	Ba	5,774.58	Ca
UFSMFW 2-02	8,094.67	Ba	8,933.33	Ab	6,530.53	Ca	5,830.97	Ca
UFSMFW 2-04	7,516.93	Bb	9,013.33	Ab	6,430.40	Ca	6,074.72	Ca
UFSMFW 2-05	7,962.27	Ba	9,440.00	Ab	6,544.00	Ca	5,585.55	Da
UFSMFW 2-07	7,622.93	Bb	10,466.67	Aa	7,082.93	Ba	5,968.47	Ca
'UPFA 21-Moreninha'	8,000.67	Ba	10,933.33	Aa	6,746.13	Ca	5,305.14	Db
'IPR Cabocla'	7,125.87	Ab	7,746.67	Ac	5,606.40	Bb	4,808.33	Bb
	Seed yield (kg ha^-1)
UFSMFW 2-01	3,483.13	Aa	2,748.27	Bc	1,949.03	Ca	1,810.00	Ca
UFSMFW 2-02	2,999.85	Aa	2,725.90	Ac	1,579.72	Bb	1,863.50	Ba
UFSMFW 2-04	2,883.70	Aa	1,939.23	Bd	1,850.97	Ba	1,970.33	Ba
UFSMFW 2-05	3,202.47	Aa	3,234.43	Ab	1,886.66	Ba	1,580.00	Ba
UFSMFW 2-07	3,243.13	Ba	4,152.10	Aa	2,074.72	Ca	1,923.67	Ca
'UPFA 21-Moreninha'	2,498.60	Ab	2,257.17	Ad	1,370.97	Bb	1,636.83	Ba
'IPR Cabocla'	2,108.77	Ab	2,114.70	Ad	1,337.50	Bb	1,503.33	Ba

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