Selection of energy cane clones

Ramos, Rachel Soares; Brasileiro, Bruno Portela; Kist, Volmir; Assis, Camila; Gasparini, Karla; Silva, Lidiane A.; Teófilo, Reinaldo Francisco; Peternelli, Luiz Alexandre; Barbosa, Marcio Henrique Pereira

doi:10.1590/1984-70332017v17n4a50

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Crop Breeding and Applied Biotechnology

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ARTICLE • Crop Breed. Appl. Biotechnol. 17 (4) • Dec 2017 • https://doi.org/10.1590/1984-70332017v17n4a50 copy

Selection of energy cane clones

Authorship SCIMAGO INSTITUTIONS RANKINGS

Abstract

The objective of this study was to select a population of sugarcane clones to develop energy cane cultivars. The genotypic means of 124 clones were estimated for the yield-related traits: mean number of stalks per plant (NS), mean stalk weight (MSW), fiber content (FIB), lignin content (LIG), and sucrose content in cane juice (SPC). From these data, the traits tons of cane per hectare (TCH), tons of fiber per hectare (TFH) and tons of lignin per hectare (TLH) were estimated. The clone effects were statistically significant (p <0.01) for all traits except TLH and LIG. Clone UFV09251 had the highest genotypic values for TFH and TCH. Clone UFV09270 had a high fiber content (15.04%) and clone UFV09225 a high sucrose content (14.05%). The correlation between TFH and TCH was high (0.89). Clone UFV09251 is highly promising as energy cane cultivar, for producing most TCH and FIB.

Key words:
Saccharum spp.; fiber; lignin; biomass.

				Traits
Parameters¹	TFH	TLH	TCH	FB (%)	LIG (%)	NS	MSW	SPC (%)
$σ_{g}^{2}$	1.92	0.24	165.09^*	0.75*	0.07	2.53*	0.03*	1.73*
$h_{g}^{2}$	0.08	0.12	0.13	0.18	0.00	0.24	0.22	0.27
AC	0.64	0.34	0.36	0.42	0.00	0.48	0.46	0.51
r	0.20	0.21	0.22	0.24	0.09	0.59	0.30	0.37
Mean	12.89	3.11	97.09	13.28	23.87	10.90	1.24	12.19

				Traits¹
Clones	TFH	TLH	TCH	FB (%)	LIG (%)	NS	MSW	SPC (%)
251	14.3	3.5	113.2	13.5	23.9	11.3	1.5	11.5
256	14.1	3.6	107.1	13.8	23.9	12.0	1.3	12.0
295	14.0	3.5	108.2	13.5	23.9	11.9	1.4	12.6
271	14.0	3.5	106.6	13.7	23.9	11.6	1.3	12.5
263	14.0	3.4	107.7	13.7	23.9	11.8	1.4	12.5
284	13.8	3.3	109.8	13.1	23.9	12.6	1.3	13.1
230	13.7	3.2	108.3	13.0	23.9	11.7	1.4	12.4
236	13.7	3.3	103.8	13.6	23.9	11.3	1.4	11.1
911	13.7	3.4	101.6	13.5	23.9	11.5	1.2	12.3
239	13.6	3.4	99.8	14.1	23.9	11.4	1.2	11.4
276	13.6	3.3	103.1	13.5	23.9	11.9	1.2	12.4
288	13.5	3.3	99.4	13.8	23.9	12.7	1.1	12.9
262	13.5	3.6	95.2	14.3	23.9	11.1	1.2	11.8
274	13.5	3.1	106.3	13.1	23.9	12.0	1.3	12.4
264	13.5	3.3	106.0	13.1	23.9	12.5	1.2	12.7
221	13.5	3.3	106.2	12.9	23.9	12.3	1.2	13.6
250	13.5	3.4	101.9	13.5	23.9	10.5	1.4	11.8
259	13.4	3.4	100.6	13.9	23.9	10.6	1.4	12.0
277	13.4	3.3	100.8	13.5	23.9	11.0	1.3	11.2
195	13.4	3.1	103.9	13.2	23.9	11.0	1.4	13.0
223	13.4	3.3	104.3	13.1	23.9	12.1	1.2	12.1
269	13.4	3.2	110.1	12.8	23.9	12.2	1.3	11.1
249	13.4	3.5	99.5	13.6	23.9	11.5	1.2	11.7
283	13.4	3.1	105.3	13.2	23.9	11.8	1.3	12.7
247	13.3	3.3	100.0	13.5	23.9	11.4	1.2	12.0
275	13.3	3.3	105.7	12.8	23.9	11.4	1.3	11.6
245	13.3	3.3	101.9	13.1	23.9	12.2	1.2	10.9
1842	15.0	3.7	120.7	12.4	23.9	11.5	1.5	14.8
7515	13.0	3.2	106.0	12.1	23.9	8.3	1.8	14.2
Mean	13.6	3.3	104.3	13.4	23.9	11.7	1.3	12.1
Standard deviation	0.3	0.1	4.1	0.4	0.0	0.6	0.1	0.7
Variance	0.1	0.0	16.4	0.1	0.0	0.3	0.0	0.5
Maximum	14.3	3.6	113.2	14.3	23.9	12.7	1.5	13.6
Minimum	13.3	3.1	95.2	12.8	23.9	10.5	1.1	10.9

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Traits ¹	TFH	TLH	TCH	FB	LIG	NS	MSW
TLH	0.54
TCH	0.89	0.46
FB	0.19	0.16	-0.21
LIG	0.02	0.81	0.02	0.01
NS	0.55	0.44	0.50	0.13	0.21
MSW	0.45	0.12	0.62	-0.36	-0.12	-0.26
SPC	0.02	0.20	0.10	-0.19	0.27	0.21	0.02