<b>THE INFLUENCE OF CLADODE MORPHOLOGY ON THE CANOPY FORMATION OF FORAGE CACTUS PLANTS</b>

BARBOSA, MARCELA LÚCIA; SILVA, THIERES GEORGE FREIRE DA; ZOLNIER, SERGIO; SILVA, SÉRVULO MERCIER SIQUEIRA E; STEIDLE NETO, ANTONIO JOSÉ

doi:10.1590/1983-21252018v31n121rc

Acessibilidade / Reportar erro

Brasil

Español English

sumário « anterior atual seguinte »

Sumário

Zootecnia • Rev. Caatinga 31 (01) • Jan-Mar 2018 • https://doi.org/10.1590/1983-21252018v31n121rc copy

THE INFLUENCE OF CLADODE MORPHOLOGY ON THE CANOPY FORMATION OF FORAGE CACTUS PLANTS ¹ 1 Paper extracted from the master’s dissertation of the first author.

ASSOCIAÇÃO MORFOLÓGICA DE CLADÓDIOS COM A FORMAÇÃO DO DOSSEL DA PALMA FORRAGEIRA

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT

Here we aimed to evaluate the influence of cladode morphology on the canopy formation of forage cactus plants. The study was carried out in Serra Talhada, the State of Pernambuco, using the IPA Sertânia (IPA), Miúda (MIU), and Orelha de Elefante Mexicana (OEM) clones, which were submitted to three irrigation depths (2.5, 5.0, or 7.5 mm) and three irrigation intervals (7, 14, or 28 days) from March 2012 to August 2013. Cladode and plant canopy biometric data were obtained during the experimental period. We found that the characteristics of the second and third order cladodes contributed most to the canopy formation of clones of the genus Nopalea (IPA and MIU), whereas, for the genus Opuntia (OEM), the first and third order cladodes contributed most. Overall, we found that the influence of the cladode variables on the canopy growth of forage cactus is more associated with the characteristics of the genus than to the peculiarities of the clones.

Keyword:
Statistical analysis; Clones; Biometrics data; Nopalea sp.; Opuntia sp..

		CL1	CL2	CL3	CT1	CP1	BCA
	PW	0.613*	0.96**	0.894**	0.867**	0.837**	0.613*
IPA	NC1	0.454	0.898**	0.611*	0.524	0.811**	0.304
	NC3	0.653*	0.803**	0.939**	0.864**	0.706**	0.647*
		BCA	CT3	CP2	CP3	CA4
	PW	0.507	0.765**	0.617*	0.703**	0.592*
	NC1	0.201	0.566*	0.879**	0.656*	0.273
MIU	NC3	0.679*	0.942**	0.817**	0.975**	0.752**
	NC4	0.775**	0.924**	0.654*	0.884**	0.813**
	CAI	0.774**	0.964**	0.829**	0.913**	0.878**
		CLBCA1	BCT	CT1	CT3	CP1	BCA
	PH	0.889**	0.639*	0.744**	0.7**	0.724**	0.519
OEM	NC1	-0.529	-0.245	-0.285	-0.868**	-0.437	-0.066
	NC3	0.635*	0.617*	0.775**	0.289	0.515	0.244
	IAC	0.953**	0.844**	0.913**	0.608*	0.847**	0.595*

Groups	Variables		Canonical factors
		1°	2°	3°
	PW	0.998	-0.041	0.039
I - Plant	NC1	0.836	0.428	-0.343
	NC3	0.901	-0.346	-0.262
	CL1	0.612	-0.237	-0.280
	CL2	0.973	0.223	0.004
II - Cladode	CL3	0.887	-0.390	-0.190
	CT1	0.853	-0.391	0.251
	CP1	0.851	0.220	-0.114
	BCA	0.597	-0.420	0.216
Canonical correlation		0.997**	0.918	0.386
χ²		49	14	1
Degrees of freedom		18	10	4

Groups	Variables			Canonical factors
		1^st	2^nd	3^rd	4^th	5^th
	PW	0.672	-0.326	0.034	0.642	-0.169
	NC1	0.836	0.217	-0.365	0.115	0.328
I - Plant	NC3	0.921	-0.338	0.158	0.103	0.041
	NC4	0.756	-0.538	0.197	0.214	0.231
	CAI	0.824	-0.535	-0.170	0.016	0.073
	BCT	0.444	-0.787	0.079	-0.126	0.401
	CT3	0.817	-0.557	0.006	0.151	-0.016
II - Cladode	CP2	0.933	-0.023	-0.358	-0.026	-0.023
	CP3	0.929	-0.323	0.139	-0.111	-0.034
	AC4	0.537	-0.820	-0.052	-0.135	-0.134
Canonical correlation		0.998**	0.984*	0.835	0.394	0.212
χ²		66	32	9	1	0
Degrees of freedom		25	16	9	4	1

Groups	Variables		Canonical factors
		1^st	2^nd	3^rd	4^th
I - Plant	PH	0.885	0.186	0.329	-0.273
	CN1	-0.730	0.621	-0.123	-0.257
	CN3	0.465	0.696	0.038	0.546
	CAI	0.869	0.475	-0.021	-0.137
II – Cladode	CT1	0.952	0.286	0.001	0.020
	BCT	0.737	0.439	-0.411	-0.014
	CT1	0.792	0.533	-0.088	0.236
	CT3	0.883	-0.309	0.059	0.320
	CP1	0.841	0.236	-0.327	-0.091
	BCA	0.472	0.309	-0.180	-0.698
Canonical correlation		0.999**	0.944	0.674	0.458
χ²		62	20	5	2
Degree of freedom		24	15	8	3

Variable	Effect	PW	CN1	CN3
	CL1 direct effect	0.037	-	0.127
	via CL2 indirect effect	0.399	-	0.056
	via CL3 indirect effect	0.125	-	0.360
CL1	via CT1 indirect effect	0.085	-	0.098
	via CP1 indirect effect	0.043	-	0.012
	via BCA indirect effect	0.010	-	0.000
	Total	0.613	-	0.653
	CL2 direct effect	0.699	0.981	0.098
	via CL1 indirect effect	0.021	-0.058	0.072
	via CL3 indirect effect	0.160	0.132	0.463
CL2	via CT1 indirect effect	0.130	-0.304	0.150
	via CP1 indirect effect	-0.071	0.165	0.020
	via BCA indirect effect	0.021	-0.018	0.000
	Total	0.960	0.898	0.803
	CL3 direct effect	0.209	0.172	0.603
	via CL1 indirect effect	0.022	-0.061	0.076
	via CL2 indirect effect	0.536	0.753	0.075
CL3	via CT1 indirect effect	0.148	-0.347	0.171
	via CP1 indirect effect	-0.051	0.120	0.014
	via BCA indirect effect	0.031	-0.027	0.000
	Total	0.894	0.611	0.939
	CT1 direct effect	0.174	-	0.201
	via CL1 indirect effect	0.018	-	0.062
	via CL2 indirect effect	0.522	-	0.073
CT1	via CL3 indirect effect	0.177	-	0.513
	via CP1 indirect effect	-0.056	-	0.016
	via BCA indirect effect	0.032	-	0.000
	Total	0.867	-	0.864
	CP1 direct effect	-0.080	0.186	0.022
	via CL1 indirect effect	0.020	-0.054	0.068
	via CL2 indirect effect	0.621	0.871	0.087
CP1	via CL3 indirect effect	0.134	0.111	0.388
	via CT1 indirect effect	0.122	-0.285	0.141
	via BCA indirect effect	0.020	-0.017	0.000
	Total	0.837	0.811	0.706
	BCA indirect effect	0.044	-	0.001
	via CL1 indirect effect	0.009	-	0.030
	via CL2 indirect effect	0.327	-	0.046
BCA	via CL3 indirect effect	0.144	-	0.416
	via CT1 indirect effect	0.126	-	0.145
	via CP1 indirect effect	-0.036	-	0.010
	Total	0.613	-	0.647
Coefficient of determination		0.992	0.866	0.917

Variable	Effect	PW	NC1	NC3	NC4	CAI
	BCT direct effect	-	-	0.014	0.123	0.150
	via CT3 indirect effect	-	-	0.430	0.605	0.313
BCT	via CP2 indirect effect	-	-	-0.020	-0.097	0.151
	via CP3 indirect effect	-	-	0.470	0.270	-0.040
	via CA4 indirect effect	-	-	-0.215	-0.127	0.200
	Total	-	-	0.679	0.775	0.774
	CT3 direct effect	1.242	0.142	0.554	0.779	0.403
	via BCT indirect effect	-0.112	0.060	0.011	0.095	0.117
CT3	via CP2 indirect effect	-0.056	0.739	-0.038	-0.186	0.292
	via CP3 indirect effect	-0.059	0.042	0.639	0.368	-0.055
	via CA4 indirect effect	-0.249	-0.417	-0.224	-0.132	0.208
	Total	0.765	0.566	0.942	0.924	0.964
	CP2 Direct effect	-0.072	0.961	-0.050	-0.242	0.380
	via BCT indirect effect	-0.058	0.031	0.006	0.049	0.060
CP2	via CT3 indirect effect	0.955	0.109	0.426	0.599	0.310
	via CP3 indirect effect	-0.053	0.038	0.573	0.330	-0.049
	via CA4 indirect effect	-0.155	-0.260	-0.139	-0.082	0.129
	Total	0.617	0.879	0.817	0.654	0.829
	CP3 direct effect	-0.064	0.045	0.693	0.399	-0.060
	via BCT indirect effect	-0.098	0.053	0.010	0.083	0.102
CP3	via CT3 indirect effect	1.146	0.131	0.512	0.719	0.372
	via CP2 indirect effect	-0.060	0.796	-0.041	-0.201	0.314
	via CA4 indirect effect	-0.221	-0.369	-0.198	-0.116	0.184
	Total	0.703	0.656	0.975	0.884	0.913
	CA4 Direct effect	-0.285	-	-0.255	-0.150	0.237
	via BCT indirect effect	-0.122	-	0.012	0.104	0.127
CA4	via CT3 indirect effect	1.088	-	0.486	0.683	0.353
	via CP2 indirect effect	-0.039	-	-0.027	-0.132	0.207
	via CP3 indirect effect	-0.049	-	0.537	0.309	-0.046
	Total	0.592	-	0.752	0.813	0.878
Coefficient of determination		0.619	0.841	0.974	0.887	0.974

Variable	Effect	PH	NC1	NC3	CAI
	CL1direct effect	1.462	-	0.441	0.871
	via ECB	-0.390	-	-0.088	-0.054
	via EC1 indirect effect	-0.113	-	0.899	0.243
CL1	via EC3 indirect effect	-0.012	-	-0.355	-0.127
	via PC1 indirect effect	-0.155	-	-0.169	-0.045
	via BCA indirect effect	0.098	-	-0.093	0.066
	Total	0.889	-	0.635	0.953
	BCT direct effect	-0.456	-	-0.103	-0.064
	via CL1 indirect effect	1.252	-	0.378	0.745
	via CT1 indirect effect	-0.102	-	0.815	0.220
BCT	via CT3 indirect effect	-0.008	-	-0.228	-0.081
	via CP1 indirect effect	-0.142	-	-0.154	-0.041
	via BCA indirect effect	0.095	-	-0.090	0.064
	Total	0.639	-	0.617	0.844
	CT1 direct effect	-0.126	-	1.006	0.272
	via CL1 indirect effect	1.306	-	0.394	0.778
	via BCT indirect effect	-0.369	-	-0.083	-0.051
EC1	via CT3 indirect effect	-0.010	-	-0.292	-0.104
	via CP1 indirect effect	-0.149	-	-0.162	-0.043
	via BCA indirect effect	0.092	-	-0.088	0.062
	Total	0.744	-	0.775	0.913
	CT3 direct effect	-0.016	-0.987	-	-0.169
	via CL1 indirect effect	1.098	-0.225	-	0.654
	via BCT indirect effect	-0.220	0.057	-	-0.031
EC3	via CT1 indirect effect	-0.078	0.443	-	0.168
	via CP1 indirect effect	-0.109	-0.153	-	-0.031
	via BCA indirect effect	0.025	-0.002	-	0.017
	Total	0.700	-0.868	-	0.608
	CP1 direct effect PC1	-0.183	-	-	-0.053
	via CL1 indirect effect	1.245	-	-	0.741
	via BCT indirect effect	-0.354	-	-	-0.049
PC1	via CT1 indirect effect	-0.103	-	-	0.221
	via CT3 indirect effect	-0.010	-	-	-0.100
	via BCA indirect effect	0.128	-	-	0.086
	Total	0.724	-	-	0.847
	BCA direct effect ACB	-	-	-	0.137
	via CC1 indirect effect	-	-	-	0.417
	via ECB indirect effect	-	-	-	-0.030
BCA	via EC1 indirect effect	-	-	-	0.123
	via EC3 indirect effect	-	-	-	-0.021
	via PC1 indirect effect	-	-	-	-0.033
	Total	-	-	-	0.595
Coefficient of determination		0.877	0.897	0.711	0.959

Universidade Federal Rural do Semi-Árido Avenida Francisco Mota, número 572, Bairro Presidente Costa e Silva, Cep: 5962-5900, Telefone: 55 (84) 3317-8297 - Mossoró - RN - Brazil
E-mail: caatinga@ufersa.edu.br

Acompanhe os números deste periódico no seu leitor de RSS

[1] ^*Corresponding author: thieres_freire@yahoo.com.br

Brasil

Brasil

THE INFLUENCE OF CLADODE MORPHOLOGY ON THE CANOPY FORMATION OF FORAGE CACTUS PLANTS 1 1 Paper extracted from the master’s dissertation of the first author.

ASSOCIAÇÃO MORFOLÓGICA DE CLADÓDIOS COM A FORMAÇÃO DO DOSSEL DA PALMA FORRAGEIRA

ABSTRACT

THE INFLUENCE OF CLADODE MORPHOLOGY ON THE CANOPY FORMATION OF FORAGE CACTUS PLANTS ¹ 1 Paper extracted from the master’s dissertation of the first author.