Zobrazeno 1 - 10
of 15 505
pro vyhledávání: '"A. Mahalingam"'
Autor:
Mahalingam, Dasharadhan, Patankar, Aditya, Laha, Riddhiman, Lakshminarayanan, Srinivasan, Haddadin, Sami, Chakraborty, Nilanjan
A typical manipulation task consists of a manipulator equipped with a gripper to grasp and move an object with constraints on the motion of the hand-held object, which may be due to the nature of the task itself or from object-environment contacts. I
Externí odkaz:
http://arxiv.org/abs/2410.06295
Publikováno v:
Electronic Journal of Plant Breeding, Vol 12, Iss 1, Pp 242-245 (2021)
Grain yield is a polygenically controlled trait which depends on many other component characters. But all the component characters are not directly associated with seed yield. Trait based yield improvement is always convenient for the plant breeders.
Externí odkaz:
https://doaj.org/article/60d42f9d981248bfb8f65d650399a100
Publikováno v:
Electronic Journal of Plant Breeding, Vol 11, Iss 1, Pp 259-262 (2020)
A total of 74 green gram germplasm collections were evaluated for yield and its component characters through principal component analysis for determining the pattern of genetic diversity. Eight quantitative parameters viz., plant height, number of pr
Externí odkaz:
https://doaj.org/article/228db339d62b4018a0c25970508caf2b
Publikováno v:
Electronic Journal of Plant Breeding, Vol 10, Iss 4, Pp 1448-1453 (2019)
Genotypes x environment interaction (GEI) effects are of special interest for plant breeders to identify stable genotypes. Present experiment was conducted for two years and two seasons from 2016-17 to 2017-18 at National Pulses Research Centre, TNAU
Externí odkaz:
https://doaj.org/article/337f12b57f82432f9214b42fe72d4c42
Publikováno v:
Electronic Journal of Plant Breeding, Vol 10, Iss 3, Pp 1246-1249 (2019)
A total of 14 genotypes including three checks of cowpea were evaluated over two seasons in two years to study the G x E interaction for seed yield. Variances due to genotype, genotype x environment, environment + (genotype x environment), environm
Externí odkaz:
https://doaj.org/article/e57c427ec13f41269aef4fe8bcaf5de8
Publikováno v:
Electronic Journal of Plant Breeding, Vol 10, Iss 2, Pp 732-735 (2019)
Magnitude of variability in two F2 populations involving Mungbean Yellow Mosaic Virus (MYMV) disease susceptible (MDU 1) and resistance (Mash 114 and Mash 1008) parents viz., MDU 1 x Mash 114 and MDU 1 x Mash 1008 of blackgram was studied. Magnitud
Externí odkaz:
https://doaj.org/article/ddb1cc6e221f457b844879b057d3c55c
Publikováno v:
Electronic Journal of Plant Breeding, Vol 10, Iss 2, Pp 712-716 (2019)
The present study was carried out to find the correlation for yield, its attributes and mungbean yellow mosaic virus (MYMV) disease scores in F2 populations derived from two crosses of blackgram viz., MDU 1 × Mash 114 and MDU 1×Mash 1008 and pare
Externí odkaz:
https://doaj.org/article/8e433289d16b412a8e85ce134f313d42
Autor:
M. Pandiyan, S. Geetha, R. P. Gnanamalar, D. Packiaraj, A. Mahalingam, D. Sassikumar, D. Dinakaran, R. P. Soundararajan, C. Vijayaraghavan, P. Rajarathinam and, V.K. Satya
Publikováno v:
Electronic Journal of Plant Breeding, Vol 9, Iss 4, Pp 1272-1279 (2018)
The high yielding blackgram variety VBN 8 is a cross derivative of VBN 3 x VBG 04-008. Average yield of VBN 8 is 900 kg/ha which is 11.9 and 13.5 percent increased yield over the check varieties VBN 6 (804 kg/ha) and CO 6 (793) respectively. It matur
Externí odkaz:
https://doaj.org/article/a0d44a453ada4d92aac640121bc9b77d
Publikováno v:
The 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC), 2024
Synthetic microbiomes offer new possibilities for modulating microbiota, to address the barriers in multidtug resistance (MDR) research. We present a Bayesian optimization approach to enable efficient searching over the space of synthetic microbiome
Externí odkaz:
http://arxiv.org/abs/2405.00070
Autor:
Pillai, Nisha, Das, Athish Ram, Ayoola, Moses, Gireesan, Ganga, Nanduri, Bindu, Ramkumar, Mahalingam
Artificial intelligence (AI) techniques are widely applied in the life sciences. However, applying innovative AI techniques to understand and deconvolute biological complexity is hindered by the learning curve for life science scientists to understan
Externí odkaz:
http://arxiv.org/abs/2403.18203