Stability analysis of garden pea ( Pisum sativum L.) genotypes under North Western Himalayas using joint regression anal
- PDF / 874,634 Bytes
- 12 Pages / 547.087 x 737.008 pts Page_size
- 105 Downloads / 196 Views
(0123456789().,-volV) ( 01234567 89().,-volV)
RESEARCH ARTICLE
Stability analysis of garden pea (Pisum sativum L.) genotypes under North Western Himalayas using joint regression analysis and GGE biplots Chanchal Rana . Akhilesh Sharma . K. C. Sharma . Pankaj Mittal . Bhrigu Nath Sinha . Vinod Kumar Sharma . Anamika Chandel . Hament Thakur . Vineeta Kaila . Praveen Sharma . Vijay Rana
Received: 11 July 2020 / Accepted: 8 October 2020 Ó Springer Nature B.V. 2020
Abstract Garden pea is an important off-season vegetable in the hills of North Western Himalayas that provides high remuneration to growers. Lack of high yielding wider adaptive varieties restricts its productivity. To identify high yielding stable genotypes across environments, 48 lines were evaluated in Alpha Lattice design over seven diverse environments spreading in five locations from sub-tropical to dry temperate conditions of Himachal Pradesh during winter 2016–2017 (5 environments) and one location Electronic supplementary material The online version of this article (https://doi.org/10.1007/s10722-020-01040-0) contains supplementary material, which is available to authorized users.
each during summer 2017 and winter 2017–2018. The highest mean pod yield over environments was produced by SP-3 (83.35 g) which was 20% higher over check Pb-89 while SP-6 (79.45 g) and SP-22 (76.90 g) got second and third rank with significant increase of 15 and 11% for pod yield over the check, respectively. The joint regression analysis depicted significant G 9 E (linear) interaction for pods/plant and pod yield/plant. Of the seven genotypes depicting stability for pod yield, SP-6 showed stability (bi = 1 and S2di = 0) for all the traits whereas SP-22 showed the same for seeds/pod and shelling percentage. G ? GE biplot described Dhaulakuan as the most representative and discriminating environment for pod
C. Rana A. Sharma (&) A. Chandel H. Thakur P. Sharma Department of Vegetable Science and Floriculture, College of Agriculture, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur, Himachal Pradesh 176062, India e-mail: [email protected]
V. K. Sharma Highland Agricultural Research and Extension Centre, Kukumseri, Himachal Pradesh, India
K. C. Sharma Krishi Vigyan Kendra, Bajaura, Himachal Pradesh, India
V. Rana Rice and Wheat Research Centre, CSKHPKV, Malan, Himachal Pradesh, India
V. Kaila Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
P. Mittal Krishi Vigyan Kendra, Dhaulakuan, Himachal Pradesh, India B. N. Sinha Krishi Vigyan Kendra, Una, Himachal Pradesh, India
123
Genet Resour Crop Evol
yield. In the mean vs. stability GGE biplot, SP-6, SP22 and SP-17 were highly stable while SP-3 possessed medium stability. ‘Which won where’ polygon view represented SP-3, SP-6 and SP-22 as most stable for yield and pod attributes across environments, constellated into majority of the environments and can be released for commercial cultivation. Keywords Garden pea Stability GGE biplot Regression
Data Loading...
