Evaluation of Advanced Breeding Lines of Groundnut (Arachis Hypogaea L.) For Yield and Yield Attributes

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G. VINEELA NEEHARIKA*, C. KIRAN KUMAR REDDY, B. RUPESH KUMAR REDDY AND P. LAVANYA KUMARI

Department of Genetics and Plant Breeding, S.V. Agricultural College, ANGRAU, Tirupati-517 502

ABSTRACT

An experiment was conducted to evaluate performance of 36 groundnut genotypes for yield and yield attributes at Regional Agricultural Research Station, Tirupati, during rabi 2021-22 laid out in Alpha Lattice Design with two replications. Analysis of variance indicated significant differences among the genotypes for all the traits indicating the existence of ample amount of variability in the material for all the traits under consideration. TCGS 2233, TCGS 2223, TCGS 2347, UBEK 21-67, UBEK 21- 70, UBEK 21-68, Rohini and UBEK 21-76 were found as promising genotypes and could be exploited for improvement of yield and yield attributes in the breeding programme as donors.

KEYWORDS: Groundnut, mean performance, evaluation, yield.

INTRODUCTION

Groundnut, a self-pollinated legume crop is one of the most important cash crop cultivated for edible oil, food and feed. Globally, it is cultivated in an area of 31.5 million hectares with production and productivity of 53.6 million tonnes and 1699 kg ha-1, respectively (FAOSTAT, 2020). India ranks second among the groundnut producing countries in the world with an area of 6.09 million hectares, production of 10.21 million tonnes and productivity of 1676 kg ha-1. In Andhra Pradesh, it is cultivated in an area of 0.87 million hectares with a production of 0.78 million tonnes and an average productivity of 894 kg ha-1 (Directorate of Economics and Statistics, Govt. of A.P, India, 2020- 2021). With the ever-growing population, the constant need to increase productivity by developing elite high yielding genotypes is inevitable. Genetic improvement of yield is a primary concern for a plant breeder and yield being a complex and quantitative trait, it is important to evaluate components associated with yield. Thus, the present investigation mainly focused on identifying the genotypes with superior performance for yield and yield attributes.

MATERIAL AND METHODS

The field experiment was carried out with 36 advanced breeding lines of groundnut at Regional Agricultural Research Station, Tirupati during rabi 2021-22 in alpha lattice design with two replications. 36 genotypes were sown in each replication by randomization in four blocks each with nine genotypes. Recommended NPK (20 N + 40 P2O5 + 50 K2O kg ha-1 & 500 gypsum kg ha-1) fertilizers were applied as basal dose. Standard crop management and plant protection practices were followed during the crop stand. List of genotypes under study were presented in Table 1 along with pedigree and salient features observed. The observations were recorded on randomly selected five plants in each genotype in each replication for plant height, number of primary branches per plant, number of secondary branches per plant, number of mature pods per plant, number of immature pods per plant, harvest index, shelling percentage, pod yield per plant, kernel yield per plant, hundred pod weight, hundred kernel weight, number of sound mature kernel and sound mature kernel weight. Days to maturity was recorded on plot basis. Analysis of variance was carried out as suggested by Patterson and Williams (1976) using R packages (version 3.1.1).

RESULTS AND DISCUSSION

Analysis of variance indicated significant differences among the genotypes for all the traits indicating the existence of ample amount of variability in the material for all the traits under consideration. The per se performance for yield and yield components were furnished in Table 2. List of promising genotypes for each yield trait was presented in Table 3.

  1. Plant height (cm): Mean values for plant height ranged between 25.90 cm (TCGS 2233) to 44.60 cm (UBEK 21-74). Fifteen genotypes recorded short stature against the general mean of 36.86 cm.
  2. Number of primary branches plant-1: Number of primary branches plant-1 varied from 2.00 (UBEK 21-68, UBEK 21-35) to 6.00 (TCGS 2352). Twenty one genotypes recorded more number of primary branches than their general mean value (3.86).
  3. Number of secondary branches plant-1: Mean values for number of secondary branches plant-1 varied from 0.50 (Rohini, UBEK 21-40, UBEK 20-24, UBEK 21-35) to 50 (TCGS 2223). Fourteen genotypes recorded higher number of secondary branches plant-1 against general mean value (1.61).
  4. Number of mature pods plant-1: The character number of mature pods plant-1 is one of the most important yield components directly influencing the pod Mean values for number of mature pods plant-1 ranged between 9.90 (UBEK 21-60) to 22.00 (TCGS 2348). Fifteen genotypes recorded more number of mature pods plant-1 against the general mean (15.14).
  5. Number of immature pods plant-1: Presence of immature pods is not desirable as they promote Aspergillus flavus Number of immature pods plant-1 varied from 1.60 (UBEK 21-60) to 6.00 (UBEK 21-74). Twenty one genotypes recorded lower number of immature pods plant-1 than the general mean (3.33).
  6. Days to maturity: Mean performance for days to maturity ranged from 50 days (UBEK 21-40, UBEK 21-43) to 111.0 days (TCGS 2348). Twenty two genotypes exhibited earliness when compared to general mean (102.08 days). The genotypes viz., TAG 24, TCGS 2339, TCGS 2326, UBEK 21-40, UBEK 21-43 and UBEK 21-74 came to maturity at 90 DAS. Therefore, these genotypes can be utilized in the hybridization programme as donor parents to develop short duration genotypes.
  7. Harvest index (%): Harvest index (HI) is a measure of success in partitioning assimilated Very often high yields are associated with high harvest index. Understanding the HI in different genotypes would be very informative to select ideal genotypes for improving productivity. Perse performance for harvest index varied from 25.30% (UBEK 21-43) to 61.70% (UBEK 21-68). Twenty one genotypes recorded higher harvest index than the general mean of 46.93%.
  1. Shelling percentage: Shelling percentage varied from 60.00% (TCGS 2233) to 78.00% (UBEK 21-74). Eighteen genotypes exhibited higher shelling percentage than the general mean of 70.50%.
  2. Pod yield plant-1: Per se performance of pod yield plant-1 ranged between 8.45g (UBEK 21-43) to 16.40 g (TCGS 2347). Sixteen genotypes recorded higher pod yield plant-1 against the general mean of 79 g.
  3. Hundred pod weight: Hundred pod weight ranged from 70.00 g (UBEK 21-43) to 140.00 g (TCGS 2347). Seventeen genotypes recorded higher 100 pod weight than the general mean (100.03 g).
  4. Hundred kernel weight: Mean values of 100 kernel weight ranged between 32.60 g (UBEK 21-43) to 58.60 g (TCGS 2347). Seventeen genotypes registered higher 100 kernel weight than the general mean (42.90 g).
  1. Kernel yield plant-1: Mean values for kernel yield plant-1 varied from 41 g (UBEK 21-43) to 12.83 g (TCGS 2347). Eighteen genotypes recorded higher kernel yield plant-1 when compared to the general mean of 9.04 g.
  2. Number of sound mature kernel: Per se performance of number of sound mature kernel ranged from 00 (UBEK 20-32, TCGS 2326) to 95.00 (ISK-I-2021-8). Eighteen genotypes registered higher number of sound mature kernels than the general mean value (84.86).
  3. Sound mature kernel weight: Per se performance of sound mature kernel weight ranged from 30.00 (TCGS 2347) to 54.30 (ISK-II-2020-12). Seventeen genotypes registered higher sound mature kernel weight than the general mean value (39.63).

To sum up the most relevant findings of the present study, genotypes viz., TCGS 2347, TCGS 2233, UBEK 21-67, UBEK 21-70, UBEK 21-68 exhibited better performance for pod yield plant-1. Among these lines, TCGS 2347 and UBEK 21-67 showed higher kernel yield plant-1 as well. In addition to these traits, TCGS 2347 exhibited superior performance for number of

Table 1. List of groundnut genotypes studied with their pedigree and salient features observed

Table 2. Mean Performance of 36 groundnut genotypes for yield and yield attributes

PH: Plant height, PB: Number of primary branches plant-1, SB: Number of secondary branches plant-1, MP: Number of mature pods plant-1, IMP: Number of immature pods plant-1, DM: Days to maturity, HI: Harvest index, SP: Shelling percentage, PYP: Pod yield plant-1 (g), HPW: Hundred pod weight, HKW: Hundred kernel weight, KYP: Kernel yield plant-1 (g), NSMK: Number of sound mature kernels, SMK WT: Sound mature kernel weight.

Table 3. List of top five genotypes based on mean performance in groundnut

primary branches plant-1, 100 pod weight, sound mature kernel weight and 100 kernel weight. TCGS 2233 was also observed to be promising for number of mature pods plant-1, 100 pod weight, 100 kernel weight whereas, UBEK 21-68 recorded higher harvest index, number of mature pods plant-1, 100 pod weight and UBEK 21-70 recorded higher harvest index. UBEK 21-76, Rohini and UBEK 21-61 recorded higher kernel yield plant-1. UBEK 21-61 performed better for shelling percentage and harvest index whereas, Rohini recorded higher mean performance for shelling percentage, number of sound mature kernel. genotypes viz., UBEK 21-74, UBEK 21-40, UBEK 21-43, TAG 24, TCGS 2339 and TCGS

2326 recorded early maturity at 90 DAS. Among these genotypes, UBEK 21-40 and TCGS 2326 recorded more number of mature pods plant-1. From the current investigation, the genotypes viz., TCGS 2233, TCGS 2223, TCGS 2347, UBEK 21-67, UBEK 21-70, UBEK 21-68, Rohini and UBEK 21- 76 were found as promising genotypes and could be exploited for improvement of yield and yield attributes in the breeding programme as donors. UBEK 21-74, UBEK 21-40, UBEK 21-43, TAG 24, TCGS 2339 and TCGS 2326 were identified as early maturing genotypes. Their duration is to be confirmed in all the seasons in multilocations. Meanwhile, Rohini and UBEK 21-76 which are medium maturing genotypes could be utilized for improving yield and its contributing characters, along with maturity at the same time.

LITERATURE CITED

Directorate of Economics and Statistics, Department of Agriculture, cooperation and Farmers Welfare, GOI. 2020-2021. Agricultural Statistics at a glance. 50-51.

FAOSTAT, 2020. Food and Agriculture Organization of the United Nations. World Agricultural Production, Rome, Italy. http://faostat.fao.org/.

Patterson, H.D and Williams, E. 1976. A new class of resolvable incomplete block designs. Biometrika. 63(1): 83-92.