Application of Advanced Statistical Techniques for Horticultural Crops Research: Present Status and Future Prospects
36 / 22
Authors
-
R Venugopalan
ICAR-Indian Institute of Horticultural Research, Bengaluru
Keywords:
: Carbon Sequestration; Crop Modelling; Crop-varietal release; Horticulture; Machine learning models; Mass transfer kinetics.Abstract
Statistical methods play a vital role in different areas of horticultural crops research right from planning of any research experiment till selection of
appropriate tool for data analysis to unravel many of the hidden results. They are central to horticultural research, enabling robust analysis of complex
research issues entailing multi-disciplinary fields such as crop improvement, production, protection, post-harvest management, climate resilience, and
socio-economic studies. The present communication, while delineating several of such multidisciplinary research outcomes, it also provides a road
map for its potential application in emerging areas of research. Further, detailed descriptions of the statistical methodologies employed are referenced
to the original sources for readers seeking methodological specifics.
Downloads
References
Ganeshamurthy A N, Ravindra V and Rupa T R. (2019). Carbon
Sequestration Potential of Mango Orchards in India. Current
Science 117(12): 2006-13. https://www.jstor.org/stable/27138603.
Ganeshamurthy A N, Ravindra V, Venugopalan R, Mathiazhagan M
and Bhat R M. (2016). Biomass Distribution and Development of
Allometric Equations for Non-Destructive Estimation of Carbon
Sequestration in Grafted Mango Trees, Journal of Agricultural
Science 8(8): ISSN 1916-9752. http://dx.doi.org/10.5539/jas.
v8n8p201
96
R Venugopalan / Journal of the Indian Society of Agricultural Statistics 83–96
Hanumanthaiah R, Venugopalan R, Padmini K and Yogeesh K J.
(2018). Yield Prediction in Brinjal (Solanum melongena CV
MAHYCO-11) Across Different Growth Stages Using ANN
Models. International journal of Current Microbiology Applied
Science 7(4):803-810.
Jalikop S H, Venugopalan R and Kumar, R. (2010). Association of fruit
traits and aril browning in pomegranate (Punica granatum L.),
Euphytica, 174, 137-141, DOI: 10.1007/s10681-010-0158-3
Karunakaran G, Ramachandran S, Venugopalan R, Selladurai R,
Arivalagan M, Srivastava AK, Shilpa K G and Ruchitha T. (2025).
Optimization of fertilizer doses for increased fruit yield of dragon
fruit adopting response surface methodology and Box-Behnken
design. Frontier Plant Science 16:1661974. DOI: 10.3389/
fpls.2025.1661974
Nassar R and Huehn M. (1987). Studies on estimation of phenotypic
stability; Tests of significance for non-parametric measures of
phenotypic stability. Biometrics 43, 45-53.
Sujayasree O J, Tiwari R B, Venugopalan R, Narayana C K,
Bhuvaneswari S, Ranjitha K, Oberoi H S, Shamina A, Sakthivel
T and Nayaka V S K. (2022). Optimization of factors influencing
osmotic dehydration of aonla (Phyllanthus emblica L.) segments
in salt solution using response surface methodology, Journal of
Horticultural Sciences 17(2), 397-410.
Nair S A, Sujatha K and Venugopalan, R. (2011). Influence of pruning
time on enhancing the yield and quality of Jasminum sambac
flowers during off-season. The Indian Journal of Agricultural
Sciences,
79(11). https://epubs.icar.org.in/index.php/IJAgS/
article/view/2578
Pallavi, R Venugopalan, S Sriram, Ranganath, H K, P Sisira. (2025).
Non-Linear growth models for incidence of Powdery Mildew
in early flowering variety of Mango (Lazzat Baksh), The Indian
Journal of Agricultural Sciences. [communicated].
Paul R K and Bhar L M. (2011). M-estimation in block design. Journal
of Indian Society of Agricultural Statistics, 65(3), 323-330.
R Sukanya, R Venugopalan, K. Padmini, Ranganath. H. K, and Sisira
P. (2025). Application of MANOVA statistical approach in
Pumpkin (Cucurbita moschata) for identifying best treatment
simultaneously based on several traits, Journal of Horticultural
Sciences [communicated])
Rosemary M X, Suresh G J, Venugopalan R. (2025). Optimization
of process variables viz., temperature and time for vacuum
concentration of pitahaya (Hylocereus polyrhizus) fruit juice,
its effect on total soluble solids, water activity, total betalain
content and antioxidant activity. Discover Foods 5, 53. https://doi.
org/10.1007/s44187-025-00313-w
Thennarasu K. (1995). On certain non-parametric procedures for
studying genotype-environment interactions and yield stability.
Indian Journal of Genetics 60, 433-439.
Venugopalan R, Kumar R and Sisira P. (2025). On Non- Parametric
approach for multi-traits based crop stability assessment in
China Aster (Callistephus chinensis L.). Journal of Horticultural
Sciences, 20(2). https://doi.org/10.24154/jhs.v20i2.4146 .
Venugopalan R, Kurian R M, Chaithra M and Sisira P. (2023). An
alternate statistical method for dealing outliers in perennial crop
experiment. Journal of Horticultural Sciences, 18(2).479-479.
Venugopalan R, Pitchaimuthu M and Chaithra M. (2020). Non
Parametric Stability Approach forHorticultural Crop Varietal
Release. Journal of Indian Society of Agricultural Statistics,
74(1):73-80.
Venugopalan R, Swamy K R M and Chandraprakash M K. (2008).
Augmented BIB design: An alternative statistical design in
germplasm evaluation trials. Journal of Horticultural Sciences,
3(1), 84-88.
Venugopalan R and Manjunath B L. (2019). Application of Robust
ANOVA methods in papaya having outlier data.Journal of Indian
Society of Agricultural Statistics, 73(2),137-140.
Venugopalan R. (2010). Application of statistical principles for
evolving crop logging models in banana (Cv. Ney Poovan).
Tropical Agriculture, 87(1), pp. 29-32
Venugopalan R and N. Vijay. (2015). Nonlinear Logistic Model for
Describing Downy Mildew Incidence in Grapes. Journal of
Indian Society 69(1):19-25.
Venugopalan R and Sisira P (2025). Teaching Manual for “Application
of basic and advanced statistical methods for horticultural crops
research: R-interface”, Practical Manual_IIHR-TM-8/2025.,
149p.
Venugopalan R and Sisira P (2025). Statistical Modelling and Machine
Learning and Deep Learning Methods”, Practical Manual_IIHR
TM-9/2025., 22p.
Venugopalan R and Sisira P (2025). Biometrical Genetics: Basics
and Advanced., ICAR-IIHR, Practical Manual_IIHR-TM
10/2025.,49p.
Venugopalan R and Sisira P (2025). Practical manual for Gene action
studies using R for horticultural crop research., TM-5/2025.,30p
Downloads
Submitted
Published
Issue
Section
How to Cite
