Partitioning and Modeling of Biomass in Caatinga Legume Seedlings in Different Water Conditions

Barros, João Paulo Alves de; Souza, Luciana Sandra Bastos; Silva, Thieres George Freire da; Moura, Magna Soelma Beserra de; Silva, Luzia Ferreira da

doi:10.1590/2179-8087.034818

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Original Article, Conservation of Nature • Floresta Ambient. 26 (4) • 2019 • https://doi.org/10.1590/2179-8087.034818 copy

Partitioning and Modeling of Biomass in Caatinga Legume Seedlings in Different Water Conditions

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT

The accumulation of dry biomass, its partitioning and the adjustment of equations were assessed for the initial growth of Piptadenia stipulacea (Benth) Ducke and Anadenanthera colubrina (Vell.) Brenan under water availability variation. The experiment was conducted in pots arranged in a completely randomized design with three replicates. Water conditions were evaluated using the percentages of reference evapotranspiration. Samples of the biomass were taken at 10-day intervals and used for the achievement of partitioning data and model adjustments. The short period of water scarcity in the initial growth phase of P. stipulacea and A. colubrina does not affect the establishment of these species, but different water regimes alter their root growth dynamics. The A. colubrina allocates more dry matter to the roots, while P. stipulacea sends more dry matter to the aerial part. The Gaussian, Lorentzian, Log-Normal and Gompertz models had excellent adjustments for the biomass variables of the P. stipulacea species, whereas for A. colubrina, we recommend the Exponential model.

Keywords:
Anadenanthera colubrina (Vell.) Brenan; initial plant growth; Piptadenia stipulacea (Benth) Ducke; semiarid; water deficit

Variable	Source of Variation	Sum of Squares	Middle Square	F
LDB	Species	4.21975	4.21975	12.0196**
	Water regime	1.26369	0.42123	1.1998 ns
	Species × Water regime	2.40446	0.80149	2.2830 ns
SDB	Species	17.55041	17.55041	56.9239**
	Water regime	1.70795	0.56932	1.8466 ns
	Species × Water regime	1.46857	0.48952	1.5877 ns
TSDB	Species	38.98160	38.98160	43.3878**
	Water regime	4.02468	1.34156	1.4932 ns
	Species × Water regime	4.89128	1.63043	1.8147 ns
RDB	Species	21.37518	21.37518	441.4331*
	Water regime	2.33289	0.77763	16.0593 ns
	Species × Water regime	1.82728	0.60909	12.5788**
TDB	Species	2.62503	2.62503	2.3976 ns
	Water regime	5.93293	1.97764	1.8063 ns
	Species × Water regime	10.32276	3.44092	3.1429 ns
RDB/TSDB	Species	12.04512	12.04512	94.1008**
	Water regime	0.33523	0.11174	0.8730 ns
	Species × Water regime	0.19466	0.06489	0.5069 ns
LA	Species	4064	4063,8	0.4229 ns
	Water regime	7478	2492,7	0.2623 ns
	Species × Water regime	33466	11155,5	1.1730 ns

T	CM	G MODEL		L MODEL		LN MODEL		GO MODEL
		VI		VI		VI		VI
		DAS	ADD	DAS	ADD	DAS	ADD	DAS	ADD
T1	y0	0.19	0.13	-0.79	-0.79	-	-	-	-
	x0	90.93	1332.8	91.04	1335.9	88.48	1277.9	-	-
	a	2.71	2.75	3.75	3.74	2.89	2.80	-	-
	b	17.96	324.48	27.02	476.36	0.21	0.26	-	-
T2	y0	0.92	1.03	-0.29	-0.11	1.3	1.39	-	-
	x0	126.02	1937.9	123.81	1900.3	132.33	2068.7	70.29	988.27
	a	3.14	3.04	4.36	4.19	2.81	2.72	5.17	5.32
	b	35.83	600.77	53.13	885.69	0.35	0.39	36.8	681.24
T3	y0	0.86	0.95	-0.49	-0.36	-	-	-	-
	x0	20.99	1852.2	119.56	1828.8	141.92	2446.6	71.89	1007.6
	a	3.76	3.67	5.16	5.02	4.80	4.99	5.46	5.56
	b	30.82	520.8	45.14	762.31	0.51	0.66	28.13	513.83
T4	y0	-	-	-	-	-	-	-	-
	x0	116.15	1775.6	114.93	1750.5	119.57	1881.3	66.98	910.85
	a	4.01	4.00	4.10	4.08	3.94	3.94	4.19	4.23
	b	35.94	632.33	40.5	708.1	0.42	0.52	18.44	338.5

T	VP	G MODEL		L MODEL		LN MODEL		GO MODEL
		VI		VI		VI		VI
		DAS	ADD	DAS	ADD	DAS	ADD	DAS	ADD
T1	R	0.9876	0.9833	0.99	0.9858	0.9556	0.9354	-	-
	r²	0.9753	0.9668	0.9801	0.9717	0.9132	0.8749	-	-
	d	0.9949	0.9931	0.9949	0.9927	0.9767	0.9654	-	-
	c	0.9825	0.9765	0.9849	0.9786	0.9333	0.903	-	-
	MAE	-6.18 × 10^-6	-2.85 × 10^-6	3.3 × 10^-5	6.0 × 10^-5	0.0009	0.0006	-	-
	SRMSE	0.14	0.16	0.13	0.15	0.27	0.32	-	-
T2	R	0.9988	0.9992	0.9991	0.9995	0.9983	0.9987	0.9961	0.996
	r²	0.9977	0.9985	0.9983	0.999	0.9967	0.9974	0.9921	0.9919
	d	0.9995	0.9997	0.9995	0.9997	0.9991	0.9993	0.998	0.9979
	c	0.9983	0.9989	0.9986	0.9992	0.9974	0.998	0.9941	0.9939
	MAE	6.13 × 10^-5	5.13 × 10^-5	2.96 × 10^-5	-6.7 × 10^-5	-0.0002	0.0002	-0.0005	-0.0006
	SRMSE	0.04	0.04	0.04	0.03	0.05	0.05	0.08	0.08
T3	R	0.9835	0.9846	0.9843	0.9854	0.9793	0.9787	0.9781	0.9785
	r²	0.9673	0.9695	0.9688	0.9709	0.959	0.9579	0.9567	0.9785
	d	0.9922	0.9928	0.992	0.9925	0.9894	0.9892	0.9888	0.9575
	c	0.9759	0.9775	0.9764	0.978	0.969	0.9681	0.9672	0.989
	MAE	-3.37 × 10^-5	8.23 × 10^-5	-6.8 × 10^-5	-2.8 × 10^-5	-0.003	-0.0033	-0.0015	-0.0017
	SRMSE	0.22	0.21	0.21	0.2	0.24	0.24	0.25	0.25
T4	R	0.9816	0.9802	0.9694	0.9693	0.983	0.983	0.9795	0.9766
	r²	0.9635	0.9608	0.9397	0.9395	0.9664	0.9664	0.9595	0.9538
	d	0.9923	0.9928	0.9835	0.9835	0.9914	0.9897	0.9896	0.9881
	c	0.974	0.9731	0.9534	0.9533	0.9745	0.9729	0.9693	0.965
	MAE	0.0017	0.001	0.0133	0.0126	-0.0023	-0.0037	-0.0029	-0.003
	SRMSE	0.20	0.20	0.25	0.25	0.19	0.20	0.21	0.22

T	MC	TAPDB		T	VP	TAPDB
		VI				VI
		DAS	ADD			DAS	ADD
T1	y0	0.5597	0.5658	T1	R	0.9791	0.9783
	a	0.0005	0.0009		r²	0.9587	0.9571
	a	0.0005	0.0009		d	0.9999	1
	b	0.0615	0.0037		c	0.979	0.9783
					MAE	0.021	0.0251
					SRMSE	0.08	0.09
T2	y0	-	-	T2	R	0.9349	0.9365
					r²	0.8741	0.8771
	a	0.1765	0.2236		d	0.9999	0.9999
	a	0.1765	0.2236		c	0.9348	0.9364
	b	0.0171	0.001		MAE	0.0034	0.0195
					SRMSE	0.13	0.13
T3	y0	-	-	T3	R	0.9485	0.9474
	y0	-	-		r²	0.8997	0.8976
	a	0.1635	0.2195		d	1	0.9999
	a	0.1635	0.2195		c	0.9485	0.9473
	b	0.0214	0.0012		MAE	0.0026	-0.073
	b	0.0214	0.0012		SRMSE	0.2	0.22
T4	y0	-	-	T4	R	0.9629	0.9606
	y0	-	-		r²	0.9272	0.9228
	a	0.2257	0.2877		d	0.9976	0.9975
	a	0.2257	0.2877		c	0.9606	0.9581
	b	0.0171	0.001		MAE	-0.006	0.0214
	b	0.0171	0.001		SRMSE	0.12	0.13

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[1] Thieres George Freire da SilvaUnidade Acadêmica de Serra Talhada, Universidade Federal Rural de Pernambuco – UFRPE, Avenida Gregório Ferraz Nogueira, s/n, Serra Talhada, CEP 52171-900, Recife, PE, Brasil e-mail: thieres_freire@yahoo.com.br