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Potato is a globally significant crop, crucial for food security and nutrition. Assessing vital nutritional traits is pivotal for enhancing nutritional value. However, traditional wet lab methods for the screening of large germplasms are time- and resource-intensive. To address this challenge, we used near-infrared reflectance spectroscopy (NIRS) for rapid trait estimation in diverse potato germplasms. It employs molecular absorption principles that use near-infrared sections of the electromagnetic spectrum for the precise and rapid determination of biochemical parameters and is non-destructive, enabling trait monitoring without sample compromise. We focused on modified partial least squares (MPLS)-based NIRS prediction models to assess eight key nutritional traits. Various mathematical treatments were executed by permutation and combinations for model calibration. The external validation prediction accuracy was based on the coefficient of determination (RSQexternal), the ratio of performance to deviation (RPD), and the low standard error of performance (SEP). Higher RSQexternal values of 0.937, 0.892, and 0.759 were obtained for protein, dry matter, and total phenols, respectively. Higher RPD values were found for protein (3.982), followed by dry matter (3.041) and total phenolics (2.000), which indicates the excellent predictability of the models. A paired t-test confirmed that the differences between laboratory and predicted values are non-significant. This study presents the first multi-trait NIRS prediction model for Indian potato germplasm. The developed NIRS model effectively predicted the remaining genotypes in this study, demonstrating its broad applicability. This work highlights the rapid screening potential of NIRS for potato germplasm, a valuable tool for identifying trait variations and refining breeding strategies, to ensure sustainable potato production in the face of climate change. [ABSTRACT FROM AUTHOR]

Indian potato production potential (54 million tonnes) strengthens the cause of export of this crop from the country. Government of India has identified districts of Agra and Farrukhabad in Uttar Pradesh, and Sabarkantha and Banaskantha in Gujarat for potato export promotion in the Agri-export policy-2018. However, issues like suitable varieties, sustainable production and protection technologies, and efficient marketing channel are challenges for acceleration of potato export in a significant way. One of the critical gaps, suitable export potential varieties was taken up in current study. Eight potato varieties were evaluated in replicated field trials at farmer's fields in district Agra and Gandhinagar. Based upon yield performance and feedback from exporters, potato varieties Kufri (K) Frysona (35.3), K Ganga (31.8), K Chipsona-3 (28.2), K Sangam (28.0) and K Bahar (24.0) have better export-grade (>55mm) tuber production potential (tha-1) in western Uttar Pradesh. Variety K Chipsona-3 (30.7), K Sangam (29.6), K Ganga (27.2) and K Frysona (24.9) are exhibiting prospects of export from Gujarat. Newly released specialty potato cv. K Neelkanth has also attracted the attention of exporters. Suitable potato varieties acceptable for importing destinations and Good Agricultural Practices (GAP) developed by ICAR-CPRI holds a better future for Indian potato export. [ABSTRACT FROM AUTHOR]