Key message Comparative assessment identified naïve interaction model, and naïve and informed interaction GS models suitable for achieving higher prediction accuracy in groundnut keeping in mind the high genotype × environment interaction for complex traits. Abstract Genomic selection (GS) can be an efficient and cost-effective breeding approach which captures both small- and large-effect genetic factors and therefore promises to achieve higher genetic gains for complex traits such as yield and oil content in groundnut. A training population was constituted with 340 elite lines followed by genotyping with 58 K ‘Axiom_Arachis’ SNP array and phenotyping for key agronomic traits at three locations in India. Four GS models were tested using three different random cross-validation schemes (CV0, CV1 and CV2). These models are: (1) model 1 (M1 = E + L) which includes the main effects of environment (E) and line (L); (2) model 2 (M2 = E + L + G) which includes the main effects of markers (G) in addition to E and L; (3) model 3 (M3 = E + L + G + GE), a naïve interaction model; and (4) model 4 (E + L + G + LE + GE), a naïve and informed interaction model. Prediction accuracy estimated for four models indicated clear advantage of the inclusion of marker information which was reflected in better prediction accuracy achieved with models M2, M3 and M4 as compared to M1 model. High prediction accuracies (> 0.600) were observed for days to 50% flowering, days to maturity, hundred seed weight, oleic acid, rust@90 days, rust@105 days and late leaf spot@90 days, while medium prediction accuracies (0.400–0.600) were obtained for pods/plant, shelling  %, and total yield/plant. Assessment of comparative prediction accuracy for different GS models to perform selection for untested genotypes, and unobserved and unevaluated environments provided greater insights on potential application of GS breeding in groundnut.

Foliar fungal diseases especially late leaf spot (LLS) and rust are the important production constraints across the peanut growing regions of the world. A set of 340 diverse peanut genotypes that includes accessions from gene bank of International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), elite breeding lines from the breeding program, and popular cultivars were screened for LLS and rust resistance and yield traits across three locations in India under natural and artificial disease epiphytotic conditions. The study revealed significant variation among the genotypes for LLS and rust resistance at different environments. Combined analysis of variance revealed significant environment (E) and genotype × environment (G×E) interactions for both the diseases indicating differential response of genotypes in different environments. The present study reported 31 genotypes as resistant to LLS and 66 to rust across the locations at 90 DAS with maturity duration 103 to 128 days. Twenty-eight genotypes showed resistance to both the diseases across the locations, of which 19 derived from A. cardenasii, five from A. hypogaea, and four from A. villosa. Site regression and Genotype by Genotype x Environment (GGE) biplot analysis identified eight genotypes as stable for LLS, 24 for rust and 14 for pod yield under disease pressure across the environments. Best performing environment specific genotypes were also identified. Nine genotypes resistant to LLS and rust showed 77% to 120% increase in pod yield over control under disease pressure with acceptable pod and kernel features that can be used as potential parents in LLS and rust resistance breeding. Pod yield increase as a consequence of resistance offered to foliar fungal diseases suggests the possibility of considering ‘foliar fungal disease resistance’ as a must-have trait in all the peanut cultivars that will be released for cultivation in rainfed ecologies in Asia and Africa. The phenotypic data of the present study will be used for designing genomic selection prediction models in peanut.

Summary An interspecific hybrid between G. arboreumϫG. anomalum was obtained by pollinating previous day bagged flowers of G. arboreum genetic male sterile line MPKV GMS with pollen from wild G. anomalum.The chromosome constitution in all the plants of G. arboreum and G. anomalum were found to be normal while interspecific hybrid showed mean chromosome association 1.081 I ϩ10.479 II ϩ0.000 III ϩ0.990 IV with normal sporads. Interspecific hybrid showed anomalous behavior of univalent and formation of single and double chromatin bridges both during fist and second meiotic division of meiosis. Meiotic chromosome association was observed in nine plants of F 2 generation. The cytological studies showed that F 1 and F 2 generations were having irregular pairing and unequal separation of chromosomes. This led to pollen sterility in these generations. In F 2 plants some good plants identified with higher pollen fertility and more number of bolls per plant. Selections from these plants can help to introgress desired characters from G. anomalum to G. arboreum. Random Amplified Polymorphic DNA (RAPD) analysis was employed to characterize the F 1 interspecific hybrid of G. arboreum MPKV GMSϫG. anomalum and its nine segregants. A total fifteen primers of 10 mer were screened of which eight were selected based on polymorphism of amplified fragments, amplification intensity and the presence of informative markers. Maximum 98 amplified fragments were resolved on the gel for parents, F 1 and F 2 's with OPC-19 primers, whereas, minimum 25 fragments were seen with OPD-04 primer. Similarity coefficient based on DNA amplification using amplified RAPD primer was estimated. The values for genetic similarity ranged from 0.14 to 0.77.

Multi-environment testing at five locations for rust and late leaf spot (LLS) resistance with 41 introgressed lines (ILs) bred using marker-assisted backcross breeding in the genetic background Spanish-type groundnut varieties identified significant genotype, and genotype 9 environment interactions (GEI) for LLS disease resistance and yield parameters. Significant GEI effects suggest the need to identify location specific breeding lines to achieve gains in pod yield and LLS resistance. The observed variable LLS disease reaction among the ILs in part suggests influence of background genotype on the level of resistance. A breeding scheme with early generation selection using molecular markers followed by phenotyping for LLS, and multi-location testing of fixed breeding lines was optimized to enhance selection intensity and accuracy in groundnut breeding. The ILs, ICGVs 14431, 14436 and 14438 with pooled LLS score at 90 DAS of 3.5-3.7 were superior to respective recurrent parent for pod yield, with early maturing similar to recurrent parents. The pod yield advantage Electronic supplementary material The online version of this article (

The study was conducted at All India Co-ordinated Research Project on Integrated Farming System, Mahatma Phule Krishi Vidyapeeth, Rahuri to develop integrated farming system model for irrigated conditions of Western Maharashtra. The model was designed for 1 ha area with crop, horticulture, dairy, goat, poultry and vermicompost unit. The integrated farming system model generated system productivity in sugarcane equivalent yield of 375 t ha-1. The gross monetary returns from combination of crop + horticulture + dairy + goat + poultry + vermicompost unit were ₹ 10,55,758 and net monetary returns was ₹ 4, 58, 943 with B:C ratio (1.77). Of this total net returns obtained from integrated farming system model, the per cent contribution of different components were crop (25%), horticulture (4%), dairy (24%), goat (18%), poultry (29%) and vermicompost (7%). Employment generation in integrated farming system model was 422 Man days year-1.