I. INTRODUCTION

Wheat is a staple food crop of majority of the people in the world. However, its production depends on availability of suitable varieties and control of diseases and pests. Plant breeders provide suitable varieties to farmers to boost food production and minimize loss incurred by pests and diseases. With the objective of providing suitable varieties to farmers we evaluated 20-wheat genotypes on 14 parameters including a test for Karnal bunt infestation. This paper presents the findings of this experiment.

II. MATERIALS AND METHODS

Afield experiment was conducted in Rabi season 2019-20 at Center for Research and Development (CRD) located at Gaunar-Usaraha, Gorakhpur, Uttar Pradesh. The experimental site is located at ${26}^{\circ }{42}^{\prime }$ 45.5" N latitude, ${83}^{\circ }{36}^{\prime }{36.6}^{″}$ E longitude and $86\mathrm{m}$ above mean sea level. The climate is semiarid with hot summer and cold winter. Nearly $80\mathrm{\%}$ of the rainfall is received during monsoon along with a few winter showers. Twenty wheat germplasm, included in this experiment, were taken from the germplasm stock available at CRD and BRD PG College, Deoria. These genotypes were raised in a randomized block design in a timely sown condition with standard package of practices for wheat cultivation. Thus, 20 genotypes were evaluated on 14 parameters in three replications. The parameters evaluated are 1. Biological yield (abbreviated as Bio Yield), 2. 1000 seed weight, 3. Yield per hectare, 4. Days to $50\mathrm{\%}$ flowering, 5. Flag leaf area, 6. Karnal bunt infestation, 7. Effective tillers, 8.Spikes/m2, 9.Spikelets/ear, 10.Ear length, 11. Peduncle length, 12.Plant height, 13.10 Ear weight and 14.Yield/Plot.

Data were collected on five randomly selected plants of all 20 genotypes and were compiled to calculate average of three replications. These were further used to calculate replication mean. These values were subjected to normalized cumulative rank (NCR) analysis as discussed by Singh and co-workers (Sanoj Kumar 2021; Singh 2017; Singh et al. 2018; Yadav et al. 2020). The idea of this analysis is based on the concept of crop ideotype as given by Donald 1968. That is why, in this analysis, we are looking for ideal plant types (=crop ideotypes) that would rank relatively high in majority of the parameters and would come first in cumulative rank or normalized cumulative rank.

III. RESULTS AND DISCUSSION

Table 1 shows the average values of the three replications.

Top few accessions of table 3 could be recommended for cultivation as they might be close to ideal plant type we are looking for. From table 3, it is clear that top five genotypes viz., HD3117, HPYT480, HPAW152, HD3271 and HPAN196 could be recommended to farmers for cultivation in this region. Top few varieties are highly likely to replace the current standard check variety gradually. It is also clear from tables 1, 2 and 3 that only four of these varieties are completely resistant to Karnal bunt. Resistant genotypes like HPYT409, HPAN153, HPYT489 and HPYT490 should be recommended for cultivation in this area. The extent of Karnal bunt infestation in susceptible varieties is ranging from $1.33\mathrm{\%}$ to $30\mathrm{\%}$. In worst case scenario, the less infested varieties with high relative performance could be recommended for cultivation. Karnal bunt has shown its presence in this region and it should be controlled in its initial stages.

This analysis is shown step by step for the comprehension of students, but to be precise, table 1 and table 2 could be merged into a single table and again the data could be sorted in increasing order based on CR or NCR. Thus, the whole paper could be summarized in a single table as given in table 4. This is being named as precise varietal recommender system.