CANONICAL CORRELATIONS BETWEEN MORPHOLOGICAL AND PRODUCTION TRAITS IN SPECIAL TYPES OF RICE<sup/>

XAVIER, MARIANA CAROLINE GUIMARÃES; ARAÚJO, JULIANA CORRÊA; MENEZES, BRUNA RAFAELA DA SILVA; DAMASCENO JÚNIOR, PEDRO CORRÊA

doi:10.1590/1983-21252022v35n403rc

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Agronomy • Rev. Caatinga 35 (4) • Oct-Dec 2022 • https://doi.org/10.1590/1983-21252022v35n403rc copy

CANONICAL CORRELATIONS BETWEEN MORPHOLOGICAL AND PRODUCTION TRAITS IN SPECIAL TYPES OF RICE¹ 1 Paper approved from V Symposium of the Northeast Plant Genetic Resources Network 2021.

CORRELAÇÕES CANÔNICAS ENTRE CARACTERÍSTICAS MORFOLÓGICAS E DE PRODUÇÃO EM TIPOS ESPECIAIS DE ARROZ

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT

The rich genetic diversity and wide adaptation of rice (Oryza sativa L.) to different environments provide fundamental resources for its conservation and improvement. The analysis of canonical correlations can be used to increase the efficiency of selecting superior genotypes, as several traits are evaluated simultaneously. Thus, this study aimed to compare morphoagronomic traits and estimate the magnitude of the association and interdependence between two groups of traits in genotypes of special types of rice. The experiment was carried out between November 2020 and April 2021 at the Department of Plant Science of the Federal Rural University of Rio de Janeiro (UFRRJ), Seropédica - RJ. The experimental design consisted of randomized blocks, with four replications. Seventeen genotypes were evaluated, five of them consisting of white rice and eleven special types of rice. Two groups of variables were used to determine the canonical correlations, with group I composed of four morphological traits and group II composed of four yield components. Significant differences (P<0.01) were observed between genotypes for the eight evaluated traits. The first, second, and third pairs showed significant canonical correlations at a 5% probability, demonstrating that these groups are not independent. The selection of superior genotypes for production can be based on choosing plants with higher flag leaf thickness, higher height, and lower flag leaf angle.

Keywords
Oryza sativa L; Multivariate analysis; Plant breeding

Number	Code	Types	Origins
1	IAC 201	White	Agronomic Institute of Campinas
2	BRS Esmeralda	White	Embrapa
3	IAC 500	Aromatic	Agronomic Institute of Campinas
4	IAC 109	White	Agronomic Institute of Campinas
5	ENA AR1901	Short-grain rice	Palhoça - SC
6	ENA AR1902	Arboreal rice	Palhoça - SC
7	ENA AR2001	Red	Seropédica - RJ
8	ENA AR1903	Carolina Gold	Rio de Janeiro - RJ
9	ENA AR1904	Duborskian	Rio de Janeiro - RJ
10	ENA AR2002	Needle yellow	Porto União - SC
11	ENA AR2003	Short-grain rice	Palhoça - SC
12	ENA AR1905	Aromatic red	Rio de Janeiro - RJ
13	ENA AR1601	Red	Seropédica - RJ
14	ENA AR1602	Red	Virgínia - MG
15	BRS 901	Red	Embrapa (Teresina - PI)
16	BRS 902	Red	Embrapa (Teresina - PI)
17	ENA AR1906	Blue Bonnet	Rio de Janeiro - RJ

Genotypes	FF (days)	CC (days)	CLL	FLT	FLA
IAC 201	67	119	58.25 a	17.67 b	3.37 b
BRS Esmeralda	75	135	49.20 b	16.63 b	2.67 c
IAC 500	77	125	37.42 c	20.14 a	2.75 c
IAC 109	112	158	19.05 e	12.09 d	2.00 c
ENA AR1901	75	123	43.42 d	20.23 a	3.25 b
ENA AR1902	94	123	32.2 d	20.45 a	2.62 c
ENA AR2001	93	125	25.11 d	13.79 c	2.69 c
ENA AR1903	91	133	27.77 d	14.96 c	3.37 b
ENA AR1904	53	119	48.2 b	14.45 c	4.62 a
ENA AR2002	76	119	39.52 c	18.52 b	2.50 c
ENA AR2003	67	129	48.92 b	18.18 b	4.00 a
ENA AR1905	51	119	27.30 d	11.28 d	3.75 b
ENA AR1601	102	142	24.17 d	13.67 c	2.62 c
ENA AR1602	98	129	22.75 d	12.84 d	1.69 c
BRS 901	92	133	15.44 e	12.73 d	2.87 c
BRS 902	108	158	18.41 e	11.72 d	2.81 c
ENA AR1906	111	158	28.63 d	15.52 c	3.00 c
Mean	-	-	33.28	15.58	2.80
CV (%)	-	-	14.34	7.30	20.83

Genotypes	HGT	NVT	%FS	HGW	YLD
IAC 201	102.71 b	14.00 b	65.76 b	2.38 e	15.12 b
BRS Esmeralda	85.75 c	7.67 c	33.30 d	2.42 e	8.50 c
IAC 500	72.50 d	14.50 b	7.28 e	2.68 d	7.04 c
IAC 109	83.17 c	16.50 b	84.40 a	2.71 d	21.33 a
ENA AR1901	83.87 c	15.50 b	51.71 c	4.29 a	8.62 c
ENA AR1902	67.61 d	11.12 c	12.60 e	2.45 e	6.12 c
ENA AR2001	73.10 d	27.25 a	69.59 b	2.04 e	27.00 a
ENA AR1903	125.17 a	11.87 c	81.61 a	2.93 d	22.72 a
ENA AR1904	100.49 b	15.87 b	84.12 a	3.32 c	15.85 b
ENA AR2002	85.21 c	12.62 c	53.96 c	2.94 d	10.06 c
ENA AR2003	108.80 b	8.83 c	66.02 b	3.65 b	8.50 c
ENA AR1905	77.80 d	25.37 a	68.65 b	2.64 d	10.10 c
ENA AR1601	106.12 b	19.00 b	66.17 b	2.38 e	16.76 b
ENA AR1602	118.84 a	15.62 b	90.43 a	2.80 d	23.26 a
BRS 901	87.94 c	16.25 b	73.26 a	2.39 e	19.90 a
BRS 902	68.37 d	10.00 c	82.12 a	2.76 d	12.82 c
ENA AR1906	109.90 b	11.17 c	77.04 a	3.16 c	12.17 c
Mean	91.61	14.89	62.83	2.82	14.45
CV (%)	8.96	27.99	13.75	8.64	27.27

	FLT	FLA	HGT	NVT	%FS	HGW	YLD
FLL	0.47^ns ns Not significant,	0.11 ^ns ns Not significant,	-0.12 ^ns ns Not significant,	-0.44 ^ns ns Not significant,	-0.76 ^ and	0.36 ^ns ns Not significant,	-0.64 ^ and
FLT		0.66 ^ and	-0.44 ^ns ns Not significant,	0.38 ^ns ns Not significant,	0.21 ^ns ns Not significant,	0.37 ^ns ns Not significant,	-0.36 ^ns ns Not significant,
FLA			0.16 ^ns ns Not significant,	-0.00 ^ns ns Not significant,	-0.22 ^ns ns Not significant,	0.42 ^ns ns Not significant,	-0.26 ^ns ns Not significant,
HGT				-0.21 ^ns ns Not significant,	0.52 ^* * significant at 1 and 5% probability by the t-test.	0.25 ^ns ns Not significant,	0.36 ^ns ns Not significant,
NVT					-0.20 ^ns ns Not significant,	-0.32 ^ns ns Not significant,	0.47 ^ns ns Not significant,
%FS						0.11^ns ns Not significant,	0.69 ^ and
HGW							-0.36 ^ns ns Not significant,

Characters		Canonical Pairs
Characters	1st	2nd	3rd	4th
FLL	- 0.12411	0.10257	-0.21356	1.58403
FLT	0.97883	0.35254	0.20388	-0.59716
FLA	0.03101	-0.58143	0.99485	-0.80427
HGT	-0.26086	0.91482	0.35938	-0.21691
NVT	-0.893	-0.94346	0.15067	0.64896
%FS	-1.1048	-0.54922	0.61707	0.86485
HGW	0.44453	0.46985	0.68817	-0.84502
YLD	0.2285	1.33511	-0.59413	-1.0642
R	0.9321^* * significant at 5% probability by the chi-square test.	0.6442^* * significant at 5% probability by the chi-square test.	0.5449^* * significant at 5% probability by the chi-square test.	. ns 0.1180

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[1] *Corresponding author

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CANONICAL CORRELATIONS BETWEEN MORPHOLOGICAL AND PRODUCTION TRAITS IN SPECIAL TYPES OF RICE1 1 Paper approved from V Symposium of the Northeast Plant Genetic Resources Network 2021.

CORRELAÇÕES CANÔNICAS ENTRE CARACTERÍSTICAS MORFOLÓGICAS E DE PRODUÇÃO EM TIPOS ESPECIAIS DE ARROZ

ABSTRACT

CANONICAL CORRELATIONS BETWEEN MORPHOLOGICAL AND PRODUCTION TRAITS IN SPECIAL TYPES OF RICE¹ 1 Paper approved from V Symposium of the Northeast Plant Genetic Resources Network 2021.