I. Introduction hickpea (CicerarietinumL., 2n=2x=16) globally ranks third among the pulse crops and accounts for production of 10.1 million tons annually. This ranking places chickpea behind beans (21.5 billion tons) and peas (10.4 million tons). These three pulses (beans, peas, and chickpeas) account for about 70% of global pulse production with chickpea accounting for approximately 17% of the total annual production. Production of chickpea in terms of harvested area from 1961 to 2013 ranged from a low of 8.9 million hectares in 1981 to a high of 13.5 million hectares in 2013. These global acreage and production figures gave a productivity of 748 kg/ha. Chickpea is produced in over 50 countries with India being the largest producer. Other chickpea producing major countries after India are Pakistan, Turkey, Australia, Ethiopia, Malawi, Mexico, Morocco and Syria. The top chickpea producing states in India in descending order have been Madhya Pradesh, Maharashtra, Karnataka, Andhra Pradesh, Rajasthan, Chhattisgarh, Uttar Pradesh and Gujarat. Chickpea is divided into two distinct types. The most prominent type is referred to as "Desi" and is characterized by relatively small seeds that range from light tan to black and with many variations including various markings of anthocyanin pigmentation. The relatively small seeds have rather thick seed coats and yellow cotyledons. The second type is "Kabuli" with bold and big seeds that are relatively white. It is important to study the traits of chickpeas based on which suitable plant types could be selected for higher yields and other improvements. The present investigation was undertaken with the twin objectives of designing an objective way of selection and advocating precise varietal recommender system in chickpeas. This system is an effort to materialize the idea of crop ideotype of chickpea. Ideotype concept was given by Donald 1968. # II. Materials and Methods A field experiment was conducted during Rabi season 2021-2022 with twelve germplasm lines of chickpea namely CSG 515, E-100YM, GNG 1581, ICC 1009, ICC 15850, ICC 16015, ICC 3535, IPC 94-94, KWR 108, P-3719, PUSA 362, and RADHA that were procured from IIPR Kanpur, U. P., India for growing in BRDPG College, Deoria. These genotypes were grown in three replications in a randomized block design. Standard package of practices was adopted to raise a good crop. These lines were evaluated on 12 parameters viz., days to 50% flowering(D 50% F), days to 50% podding (D 50% P), plant height(PH (CM)), primary branches/plant (PBPP), secondary branches /plant (SBPP), days to maturity (D 2 M), number of pods/plant (NPPP), number of seeds/plant (NSPP), biological yield/plant (BYPP), seed yield/plant (SYPP), harvest index (HI%) and the hundred seed weight (100 SEED WT). Observations were recorded on five randomly selected plants and tagged to record the observation from each replication in each row on twelve parameters. Means of three replications were calculated. These average data were subjected to normalized cumulative ranks analysis as used by Singh 2017, Singh et al., 2018, Yadav et al., 2020and Kumar 2021. The results of the NCR analysis are being given in five tables to comprehend the NCR analysis step-bystep, although a single table (Table 5)is enough to present the results of such experiments as given in many theses of research students and many papers of this college for the sake of precision and paper economy. # C farm to select varieties close to ideal plant types through a multi-criteria selection. These genotypes were grown in three replications under standard package of practices to raise a good crop. These genotypes were evaluated on 12 characters namely, plant height, days to 50% flowering, primary branches/plant, secondary branches/plant, days to maturity, number of pods/plant, number of seeds/plant, biological yield/plant, seed yield/plant and the harvest index. The normalized cumulative rank analysis was used to find out a preference order of these genotypes. The preference order is PUSA 362, P-3719, CSG-151, E-100YM, ICCI6015, GNG1581, RADHA, IPC 94-94, ICC15850, ICC 3535, ICC1009 and KWR 108. The top five genotypes from these could be recommended to farmers for cultivation in this region. A single table is enough to present the results of such experiments. The top two varieties were compared with ideal plant type and the best one (PUSA 362) could be further improved by crossing it with CSG515, IPC 94-94, ICC3535 and KWR 108. # III. Results and Discussion The mean data of the three replications are given in Table 1. # Table 1: The Mean Data of three Replications The ranks, cumulative ranks and normalized cumulative ranks are given in Table 2. # Global Journal of Science Frontier Research ( D ) XXIII Issue IV Version I Year 2023 Table 4: Combining Tables 1 and2 Together On sorting the table 4 on CR or NCR in increasing order we get Table 5 which is enough to sum up the findings of this experiment. Thus, this single table (Table 5) is enough for poster as well as paper presentation of such experiments. From tables 3 & 5, it is clear that the preference order of evaluated chickpea genotypes is PUSA 362, P-3719, CSG 515, E-100YM, ICC 16015, GNG 1518, RADHA, IPC 94-94, ICC 15850, ICC 3535, ICC 1009 and KWR 108. Top five varieties viz., PUSA 362, P-3719, CSG 515, E-100YM and ICC 16015 could be recommended for cultivation by farmers of this region. Top two varieties were compared with ideal plant type and the graphical presentation shows how close are the top two varieties to the ideal plant type as shown in Figure 1. The ideal plant type being visualized here, on the basis of twelve evaluated parameters, is early flowering, early podding, tall, having more primary and secondary branches, early maturing, more pods per plant, more seeds/pod, more biological yield per plant, more seed yield per plant, high harvest index and higher 100 seed weight. From same data set we can select various plant types by changing selection criteria as per our farmers' needs. From this NCR analysis it is also clear that top performer viz., PUSA 362 has scope for future improvement in parameters like secondary branches per plant (SBPP), days to maturity (D2M), harvest index (HI) and primary branches per plant (PBPP). These characters can be improved by crossing PUSA 362 with CSG 515 (ranking first in SBPP), IPC 94-94 or ICC 1009 (both ranking first in D2M), ICC 3535 (ranking first in HI) and KWR 108 (ranking first in PBPP) respectively. 2 3SN VARIETYâ??" D 50% F D 50% P PH(CM) PBPPSBPPD 2 M NPPP NSPPBYPPSYPPHI%100 SEED WTSort Order?1100010000001CSG 5158911443.895.3312.8129.67 17.87 18.479.883.9437.0717.832E-100YM8911661.874.635.5313022.825.412.173.3627.6418.33 GNG 15819011843.575.3310.8713015.7315.99.493.1932.1820.734ICC 100998115.3344.654.4712813.21 15.056.42.4537.9116.85 ICC 158509011438.775.27.33128.33 8.877.68.462.3623.2722.466 ICC 160158911443.193.67812915.45 19.679.543.5834.3718.837ICC 353592114.6742.514.738128.67 12.73 14.825.623.0341.7217.68IPC 94-9492115.3339.195.075.4712815.616.336.982.3837.8419.69KWR 10892115.6742.2817.935.071306.476.337.862.1923.4723.8110P-37199011447.694.535.67128.67 20.93 26.87 10.784.5740.3618.0311 PUSA 3628911249.894.875.03129.33 20.95 20.82 14.154.4734.4425.612RADHA8811544.654.44.73128.33 15.27 13.93 11.132.5419.8123.4SN VARIETY D 50% F D 50% P PH(CM) PBPPSBPPD2MNPPP NSPPBYPPSYPPHI%100 SEED WTCR NCRSort Order?1100010000001CSG 5152262194553510541.22E-100 YM2111881012259867 1.493 GNG 15816127221057768577 1.714ICC 1009128410619811931293 2.075 ICC 158506212453111181111488 1.966 ICC 16015228123774647769 1.537ICC 353596973510912711189 1.988IPC 94-9498115916610104685 1.899KWR 10891010110101212912102107 2.3810P-371962397531412952 1.1611 PUSA 362212611823126145112RADHA1741012381038123811.8SN VARIETY D 50% F D 50% P PH(CM) PBPPSBPPD2MNPPP NSPPBYPPSYPPHI%100 SEED WTCR NCRSort Order?1100010000001PUSA 36221261182312614512P-371962397531412952 1.163CSG 5152262194553510541.24E-100 YM2111881012259867 1.495 ICC 16015228123774647769 1.536 GNG 15816127221057768577 1.717RADHA1741012381038123811.88IPC 94-9498115916610104685 1.899 ICC 158506212453111181111488 1.9610 ICC 353596973510912711189 1.9811 ICC 1009128410619811931293 2.0712 KWR 10891010110101212912102107 2.38 5 © 2023 Global JournalsMulti-Criteria Selection in Gram (Cicer arietinum L.) Germplasm * The breeding of crop ideotype CMDonald Euphytica 17 1968 * Prescis (e) varietal recommender system: An example with 20 wheat varieties RKumar B. R. D. P. G. College 2021 Deoria, Uttar Pradesh; India Ag.) Thesis Bharat) -274001 * Normalized Cumulative Ranks for Plant Breeding: An Example SNSingh ISSN: 2454-6011 Frontiers in Crop Improvement Journal 2393-8234 5 2017 Print * Selection from quinoa (Chenopodium quinoa Willd.) accessions through normalized cumulative ranks SNSingh RKSahu Tarkeshwar Progressive Research -An International Journal 13 2018 * Selecting suitable wheat (Triticum aestivum L.) variety for Gorakhpur and Deoria region through normalized cumulative ranks MYadav SNSingh Tarkeshwar RKSahu KKumar PKYadav Int. J. Curr. Microbiol. App. Sci, Special Issue 11 2020