Commercially important sugarcane traits were assessed in the early stages of the selection programme at the South African Sugar Association Experiment Station, Mount Edgecombe. The parents of a selected population were planted in the same field as their offspring to determine heritability values. The trial was planted in stage one of the plant breeding programme (single stools) and again in stage two (single lines) to calculate clonal repeatabilities and correlations between family means. Mid-parent-offspring regression was used to determine the narrow sense heritability of the traits investigated. Stalk population was the most heritable trait recorded at stage one,followed by stalk diameter, fibre % cane and brix % dry matter. Sucrose-related traits gave the highest estimates of heritability in stage two. Clonal repeatability and correlation between family means of traits were highest for stalk diameter, fibre % cane, and brix % dry matter. Introduction The economic success of the South African sugarcane industry is dependent on the breeding, release and growth of, as well as the extraction of, sucrose from sugarcane varieties that are adapted to a number of different environmental conditions found throughout the industry. For a sugarcane breeding programme to be successful it is important to know which traits give the highest estimates of heritability and which are the most repeatable over a number of seasons.Most sugarcanebreeders selectnewclones from large seedling populations and usually discard a high proportion in the early stages of the selection programme. In the past this selection has been based mainly on traits which have since been found to have low heritability values, e.g. vigour, and are selected visually in the field. Although progress has been made in these early stages, it was very slow. It would be more beneficial to place stricter selection pressure at these early stages on traits of commercial importance with known higher heritability values, e.g. sucrose content and diameter (Stevenson, 1965). Research indicates that heritability estimates are low for most characters affecting yield and fairly high for rust and smut resistance and brix % cane (NageswaraRao etal., 1983). Howev~r, ~~~n meas,:!ring. heritabilities on a family basis, the heritabilities affectmgyield have been found to be quite high (Skinner et al., 1987). The South African Sugar Association Experiment Station (SASEX) has carried out a number of inheritance trials, mainly under irrigation. Since the environmental variation under irrigation is less than that occuring in the non-irrigated areas (Blose, 1992; Bond and van der Merwe, 1992), it was necessary to obtain heritability estimates under non-irrigated conditions. Hence a non-irrigated sugarcane popula9 tion was planted at SASEX, Mount Edgecombe, over two seasons, under dryland conditions, to determine heritability estimates. Methods and procedures Experimentalprocedures A selection of 12 crosses was made from the terrace seedlings due to be planted into stage one ofthe routine selection programme at SASEX,Mount Edgecombe.The terrace seedlings, including the selections for the heritability trial, were planted into the same field in September 1992. The parental genotypes of these selections were also planted in the field as their offspring. The population was made up of single stools planted at 1 m intervals in rows 1,2 m apart. Each stool in the field represented a different genotype. 32 offspring were selected at random from each of the selected crosses. Two weeks before the harvest date (November 1993) the following traits were recorded: stool population (number of stalks in each stool), stalk diameter (mean of four stalks) stalk height (mean of 12 stalks), and two stalks from each stool were sampled to measure dry matter % cane, fibre % cane, brix % cane, brix %dry matter, pol %cane, ers % cane and purity. The stool mass for this first stage was estimated using Bechet's method (Bond, 1979): No. of stalks/stool 4 X average stalk height (em) X (stalk diameter (cmj)' X 3~~~O Kg In November 1993, these same crosses and parents were planted into a single line stage (stage two). Each genotype was planted into a 5 m line and the rows were 1,2 m apart. Both the parents and the crosses were replicated at this stage. The parents were replicated six times and each of the crosses was divided into four groups of eight offspring each. This indicates that, although the individuals themselves were not replicated, the crosses were replicated four times across the field. A control variety (NC0376) was planted at regular intervals in the trial to help measure field variation. The same traits as in stage one were studied, except that the stalk population was calculated by counting the number of stalks in four metres of each row and cane yield was the mass of each row expressed as tons per hectare. Data from the plots were used to calculate plot means, standard errors, heritabilities and repeatabilties of these traits over the two selection stages. Statistical procedures The degree of resemblance between relatives for the traits was determined from the ratio of additive to phenotypic variance (narrow sense heritability). Mid-parent-offspring Proceedings of The South African Sugar Technologists' Association June 1995 regression was used to determine these estimations. Midparent-offspring regression was calculated as follows: b _ COVOM OM (J~ where COVOM is the covariance of offspring on mid-parent value and (J~ is the variance of the parents, which is the phenotypic variance of the population. The covariance between the offspring and mid-parent value is equal to the additive genetic variance, therefore this bOM is equal to the heritability in the narrow sense (Falconer, 1989). The degree of genetic determination (DGD), which is the ratio of genotypic to phenotypic variance (broad sense heritability), was also calculated for this population. The following formula was used to determine repeatability: VP(n) = VG + VEg + VEs I n (Falconer,1989) where VP(n) is the total phenotypic variance for n measurements of the trait, VG is the genetic variance, VEg is the general environmental variance, which is the environmental variance contributing to the between-individual component arising from permanent or non-localised circumstances, and VEs is the specialenvironmental variance, which is the withinindividual variance arising from temporary or localised circumstances. Repeatability is the ratio of (VG+ VEJ to Vp. The term 'clonal repeatability' is used when the correlation refers to different plants of the same sugarcane genotype, usually planted at two different locations. Clonal repeatability can provide an estimate for DGD when V Eg is nonexistent or very small. . Table 1 Family means and mid-parent values for stage one single stools IDiameter (em') Stool Height (em) Stool mass Cross Population (kg) no. Family MidFamily MidFamily MidFamily Midmean parent mean parent mean parent mean parent 1 5,3 6,5 25,1 19,3 85,0 80,0 9,3 8,4 2 6,2 7,7 19,2 19,8 91,6 108,3 9,0 13,6 3 5,9 6,5 22,6 18,3 102,2 106,7 11,2 10,7 4 7,9 8,7 14,3 12,8 76,6 100,0 7,2 9,2 5 5,8 7,4 18,0 16,2 88,1 82,5 7,8 8,1 6 5,2 6,5 23,0 20,1 99,4 99,2 9,7 10,8 7 6,8 6,6 17,2 17,8 81,6 84,2 7,9 7,9 8 6,8 8,1 15,6 12,1 85,6 99,2 7,5 7,9 9 6,6 8,0 24,2 16,5 85,0 105,0 11,1 10,9 10 8,0 6,7 17,0 18,5 79,7 73,3 8,8 7,4 II 5,3 5,8 22,4 29,2 96,9 89,2 9,6 8,2 12 6,3 7,2 18,0 12,9 93,1 98,3 8,7 7,5 mean 6,4 7,1 19,9 16,9 88,7 93,8 9,0 9,2 SD % mean 14,2 11,3 17,4 16,4 8,7 11,8 13,8 19,7 10 DM % cane . Fibre % cane Brix % cane Brix % DM Cross no. Family MidFamily MidFamily MidFamily Midmean parent , mean parent mean parent mean parent 1 29,1 27,9 15,7 13,0 13,3 14,9 46,1 53,6 2 28,0 27,8 ! 13,4 12,6 14,6 15,2 52,3 55,0 3 30,5 29,3 16,3 14,7 14,2 14,6 46,7 50,0 4 29,8 * 16,0 * 13,8 * 46,2 * 5 30,3 28,4 16,8 14,5 13,5 13,9 44,7 49,1 6 30,4 29,0 15,8 14,1 14,6 15,0 48,3 51,6 7 29,2 29,4 15,8 15,3 13,4 14,0 46,1 47,9 8 29,1 28,7 15,8 15,2 13,3 13,5 46,0 47,6 9 29,8 28,9 16,3 15,3 13,5 13,5 45,4 47,4 10 29,0 28,3 15,3 13,7 13,7 14,7 47,5 52,1 II 29,5 26,3 15,8 13,3 13,8 13,0 46,8 49,2 12 30,7 30,2 16,9 15,5 13,8 14,8 45,1 48,9 mean 29,6 28,6 15,8 14,3 13,8 14,3 46,8 50,2 SD % mean 2,5 3,4 5,4 6,9 3,2 4,8 4,1 4,8 Pol % cane Ers % cane Purity Cross no. Family MidFamily MidFamily Midmean parent mean parent mean parent I 11,2 11,5 9,3 9,0 83,8 76,7 2 12,4 12,9 10,5 11,1 84,0 84,6 3 12,3 12,3 10,4 10,4 86,1 84,0 4 11,6 * 9,7 * 84,3 * 5 11,4 10,6 9,4 8,2 84,3 76,2 6 12,5 12,2 10,6 10,0 85,3 81,0 7 11,0 10,7 9,0 8,2 82,0 76,1 8 10,7 11,0 8,5 9,0 79,7 81,2 9 11,1 11,6 8,9 9,8 81,6 85,9 10 11,3 12,0 9,2 9,9 81,8 81,3 II 11,6 10,5 9,6 8,5 84,0 80,4 12 11,6 12,0 9,6 9,7 83,8 80,6 mean 11,6 11,6 9,6 9,4 83,4 80,7 SD % mean 4,7 6,5 6,6 9,4 2,0 3,9 * the male parent variety of cross 4 did not perform well in stage one but was included in the analyses as a missing plot. Proceedings of The South African Sugar Technologists' Association June 1995 The family means of stage two were estimated using the residual maximum likelihood (REML) method (Robinson, 1987). REML is used to analyse unbalanced data (Genstat 5 Release 3 Reference Manual, 1993). Results and discussion The mid-parent values and family means of both stages were calculated and used to determine narrow sense heritabilities. Family means for diameter, population, and stool mass varied for the different crosses (Tables 1and 2) whereas the family means for the other traits varied only slightly. The difference between the family means for stalk population were fairly high in stage one but were less in stage two. High narrow sense heritabilities were observed for stalk population, diameter, fibre % cane, brix % dry matter and pol % cane for stage one (Table 3). The narrow sense heritability was very high for stalk population at stage one because there were fairly large differences in stalk numbers within and betw
[1]
A. Brown,et al.
Quantitative genetics of sugarcane
,
2004,
Theoretical and Applied Genetics.
[2]
Dorothy L. Robinson,et al.
Estimation and Use of Variance Components
,
1987
.
[3]
D. M. Hogarth,et al.
Selection Methods, Criteria, and Indices
,
1987
.
[4]
H. Grüneberg,et al.
Introduction to quantitative genetics
,
1960
.