Nghiên cứu phát triển chủng nấm sợi và tối ưu điều kiện lên men sản xuất đa enzyme α-amylase, glucoamylase, cellulase ứng dụng trong chế biến thức ăn chăn nuôi

Least Squares Means for effect LO*GT Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: PH45

i/j	1	2		3	4		5		6	7	8
1		0.9998		0.9996	0.8097		1.0000		0.9161	0.9852	1.0000
2	0.9998			1.0000	0.9569		0.9999		0.9908	0.9997	1.0000
3	0.9996	1.0000			0.9697		0.9998		0.9946	0.9999	1.0000
4	0.8097	0.9569		0.9697			0.8345		1.0000	0.9982	0.8721
5	1.0000	0.9999		0.9998	0.8345				0.9316	0.9896	1.0000
6	0.9161	0.9908		0.9946	1.0000		0.9316			1.0000	0.9532
7	0.9852	0.9997		0.9999	0.9982		0.9896		1.0000		0.9946
8	1.0000	1.0000		1.0000	0.8721		1.0000		0.9532	0.9946
	LO	GT	H2OBQ LSMEAN			Standard Error		Pr > \|t\|	LSMEAN Number
	1	cai	0.77666667			0.24785468		0.0064	1
	1	duc	1.20000000			0.24785468		0.0002	2
	2	cai	1.22000000			0.24785468		0.0002	3
	2	duc	1.51666667			0.24785468		<.0001	4
	3	cai	1.08333333			0.24785468		0.0005	5
	3	duc	1.18333333			0.24785468		0.0002	6
	4	cai	1.23333333			0.24785468		0.0001	7
	4	duc	0.80000000			0.24785468		0.0053	8

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Nghiên cứu phát triển chủng nấm sợi và tối ưu điều kiện lên men sản xuất đa enzyme α-amylase, glucoamylase, cellulase ứng dụng trong chế biến thức ăn chăn nuôi - 21
Nghiên cứu phát triển chủng nấm sợi và tối ưu điều kiện lên men sản xuất đa enzyme α-amylase, glucoamylase, cellulase ứng dụng trong chế biến thức ăn chăn nuôi - 22
Nghiên cứu phát triển chủng nấm sợi và tối ưu điều kiện lên men sản xuất đa enzyme α-amylase, glucoamylase, cellulase ứng dụng trong chế biến thức ăn chăn nuôi - 23

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Least Squares Means for effect LO*GT Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: H2OBQ

i/j	1	2	3	4	5	6	7	8
1		0.9181	0.8991	0.4479	0.9844	0.9322	0.8851	1.0000
2	0.9181		1.0000	0.9814	1.0000	1.0000	1.0000	0.9374
3	0.8991	1.0000		0.9871	0.9999	1.0000	1.0000	0.9211
4	0.4479	0.9814	0.9871		0.9089	0.9754	0.9901	0.4851
5	0.9844	1.0000	0.9999	0.9089		1.0000	0.9998	0.9901
6	0.9322	1.0000	1.0000	0.9754	1.0000		1.0000	0.9491
7	0.8851	1.0000	1.0000	0.9901	0.9998	1.0000		0.9089
8	1.0000	0.9374	0.9211	0.4851	0.9901	0.9491	0.9089

GT	H2OCB LSMEAN	Standard Error	Pr > \|t\|	LSMEAN Number
1	cai	31.8666667	0.8619020	<.0001	1
1	duc	31.0000000	0.8619020	<.0001	2
2	cai	29.6233333	0.8619020	<.0001	3
2	duc	30.9766667	0.8619020	<.0001	4
3	cai	30.1633333	0.8619020	<.0001	5
3	duc	31.5866667	0.8619020	<.0001	6
4	cai	30.0500000	0.8619020	<.0001	7
4	duc	31.9633333	0.8619020	<.0001	8

Least Squares Means for effect LO*GT Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: H2OCB

i/j	1	2	3	4	5	6	7	8
1		0.9954	0.6047	0.9945	0.8459	1.0000	0.8018	1.0000
2	0.9954		0.9404	1.0000	0.9962	0.9996	0.9920	0.9913
3	0.6047	0.9404		0.9452	0.9998	0.7382	1.0000	0.5577
4	0.9945	1.0000	0.9452		0.9968	0.9995	0.9931	0.9900
5	0.8459	0.9962	0.9998	0.9968		0.9301	1.0000	0.8086
6	1.0000	0.9996	0.7382	0.9995	0.9301		0.9005	1.0000
7	0.8018	0.9920	1.0000	0.9931	1.0000	0.9005		0.7606
8	1.0000	0.9913	0.5577	0.9900	0.8086	1.0000	0.7606

GT	PH24 LSMEAN	Standard Error	Pr > \|t\|	LSMEAN Number
1	cai	5.91333333	0.14030225	<.0001	1
1	duc	6.08333333	0.14030225	<.0001	2
2	cai	6.03000000	0.14030225	<.0001	3
2	duc	6.15000000	0.14030225	<.0001	4
3	cai	5.99666667	0.14030225	<.0001	5
3	duc	6.17333333	0.14030225	<.0001	6
4	cai	5.96000000	0.14030225	<.0001	7
4	duc	6.05000000	0.14030225	<.0001	8

Least Squares Means for effect LO*GT Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: PH24

i/j	1	2	3	4	5	6	7	8
1		0.9861	0.9986	0.9227	0.9998	0.8822	1.0000	0.9962
2	0.9861		1.0000	1.0000	0.9998	0.9997	0.9980	1.0000
3	0.9986	1.0000		0.9983	1.0000	0.9949	0.9999	1.0000
4	0.9227	1.0000	0.9983		0.9924	1.0000	0.9744	0.9995
5	0.9998	0.9998	1.0000	0.9924		0.9828	1.0000	1.0000
6	0.8822	0.9997	0.9949	1.0000	0.9828		0.9533	0.9980
7	1.0000	0.9980	0.9999	0.9744	1.0000	0.9533		0.9997
8	0.9962	1.0000	1.0000	0.9995	1.0000	0.9980	0.9997

GT	L_TB LSMEAN	Standard Error	Pr > \|t\|	LSMEAN Number
1	cai	55.9533333	0.9259185	<.0001	1
1	duc	56.0666667	0.9259185	<.0001	2
2	cai	55.4566667	0.9259185	<.0001	3
2	duc	56.1000000	0.9259185	<.0001	4
3	cai	55.9133333	0.9259185	<.0001	5
3	duc	57.4333333	0.9259185	<.0001	6
4	cai	56.2000000	0.9259185	<.0001	7
4	duc	56.4166667	0.9259185	<.0001	8

Least Squares Means for effect LO*GT Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: L_TB

i/j	1	2	3	4	5	6	7	8
1		1.0000	0.9999	1.0000	1.0000	0.9402	1.0000	0.9999
2	1.0000		0.9997	1.0000	1.0000	0.9598	1.0000	1.0000
3	0.9999	0.9997		0.9995	1.0000	0.7921	0.9989	0.9944
4	1.0000	1.0000	0.9995		1.0000	0.9646	1.0000	1.0000
5	1.0000	1.0000	1.0000	1.0000		0.9320	1.0000	0.9999
6	0.9402	0.9598	0.7921	0.9646	0.9320		0.9766	0.9921
7	1.0000	1.0000	0.9989	1.0000	1.0000	0.9766		1.0000
8	0.9999	1.0000	0.9944	1.0000	0.9999	0.9921	1.0000

GT	A_TB LSMEAN	Standard Error	Pr > \|t\|	LSMEAN Number
1	cai	13.7240000	0.3359590	<.0001	1
1	duc	14.2640000	0.3359590	<.0001	2
2	cai	13.1406667	0.3359590	<.0001	3
2	duc	14.7246667	0.3359590	<.0001	4
3	cai	14.2773333	0.3359590	<.0001	5
3	duc	13.9706667	0.3359590	<.0001	6
4	cai	13.6200000	0.3359590	<.0001	7
4	duc	13.9346667	0.3359590	<.0001	8

Least Squares Means for effect LO*GT Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: A_TB

i/j	1	2	3	4	5	6	7	8
1		0.9386	0.9117	0.4506	0.9310	0.9994	1.0000	0.9998
2	0.9386		0.3200	0.9727	1.0000	0.9980	0.8640	0.9960
3	0.9117	0.3200		0.0635	0.3074	0.6601	0.9663	0.7041
4	0.4506	0.9727	0.0635		0.9767	0.7512	0.3382	0.7089
5	0.9310	1.0000	0.3074	0.9767		0.9974	0.8520	0.9949
6	0.9994	0.9980	0.6601	0.7512	0.9974		0.9942	1.0000
7	1.0000	0.8640	0.9663	0.3382	0.8520	0.9942		0.9970
8	0.9998	0.9960	0.7041	0.7089	0.9949	1.0000	0.9970

GT	B_TB LSMEAN	Standard Error	Pr > \|t\|	LSMEAN Number
1	cai	6.27666667	0.69029281	<.0001	1
1	duc	7.70666667	0.69029281	<.0001	2
2	cai	5.62000000	0.69029281	<.0001	3
2	duc	7.79333333	0.69029281	<.0001	4
3	cai	7.73666667	0.69029281	<.0001	5
3	duc	7.75666667	0.69029281	<.0001	6
4	cai	6.69000000	0.69029281	<.0001	7
4	duc	6.79666667	0.69029281	<.0001	8

Least Squares Means for effect LO*GT Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: B_TB

i/j	1	2	3	4	5	6	7	8
1		0.8144	0.9967	0.7692	0.7992	0.7888	0.9998	0.9992
2	0.8144		0.4335	1.0000	1.0000	1.0000	0.9603	0.9779
3	0.9967	0.4335		0.3867	0.4170	0.4062	0.9486	0.9189
4	0.7692	1.0000	0.3867		1.0000	1.0000	0.9402	0.9641
5	0.7992	1.0000	0.4170	1.0000		1.0000	0.9539	0.9736
6	0.7888	1.0000	0.4062	1.0000	1.0000		0.9494	0.9705
7	0.9998	0.9603	0.9486	0.9402	0.9539	0.9494		1.0000
8	0.9992	0.9779	0.9189	0.9641	0.9736	0.9705	1.0000

GT	DAI_TB LSMEAN	Standard Error	Pr > \|t\|	LSMEAN Number
1	cai	49.0466667	5.8808866	<.0001	1
1	duc	43.0266667	5.8808866	<.0001	2
2	cai	48.6466667	5.8808866	<.0001	3
2	duc	45.3333333	5.8808866	<.0001	4
3	cai	52.4666667	5.8808866	<.0001	5
3	duc	50.7466667	5.8808866	<.0001	6
4	cai	46.1333333	5.8808866	<.0001	7
4	duc	53.8533333	5.8808866	<.0001	8

Least Squares Means for effect LO*GT Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: DAI_TB

i/j	1	2	3	4	5	6	7	8
1		0.9948	1.0000	0.9998	0.9999	1.0000	1.0000	0.9987
2	0.9948		0.9966	1.0000	0.9390	0.9784	0.9999	0.8855
3	1.0000	0.9966		0.9999	0.9997	1.0000	1.0000	0.9979
4	0.9998	1.0000	0.9999		0.9861	0.9973	1.0000	0.9635
5	0.9999	0.9390	0.9997	0.9861		1.0000	0.9930	1.0000
6	1.0000	0.9784	1.0000	0.9973	1.0000		0.9990	0.9999
7	1.0000	0.9999	1.0000	1.0000	0.9930	0.9990		0.9784
8	0.9987	0.8855	0.9979	0.9635	1.0000	0.9999	0.9784

GT	VCK LSMEAN	Standard Error	Pr > \|t\|	LSMEAN Number
1	cai	25.6166667	0.4151890	<.0001	1
1	duc	25.5933333	0.4151890	<.0001	2
2	cai	25.9600000	0.4151890	<.0001	3
2	duc	26.0866667	0.4151890	<.0001	4
3	cai	26.1266667	0.4151890	<.0001	5
3	duc	26.2800000	0.4151890	<.0001	6
4	cai	26.1233333	0.4151890	<.0001	7
4	duc	25.7100000	0.4151890	<.0001	8

Least Squares Means for effect LO*GT Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: VCK

i/j	1	2	3	4	5	6	7	8
1		1.0000	0.9986	0.9906	0.9850	0.9403	0.9856	1.0000
2	1.0000		0.9979	0.9876	0.9808	0.9296	0.9815	1.0000
3	0.9986	0.9979		1.0000	1.0000	0.9991	1.0000	0.9998
4	0.9906	0.9876	1.0000		1.0000	1.0000	1.0000	0.9975
5	0.9850	0.9808	1.0000	1.0000		1.0000	1.0000	0.9954
6	0.9403	0.9296	0.9991	1.0000	1.0000		1.0000	0.9725
7	0.9856	0.9815	1.0000	1.0000	1.0000	1.0000		0.9956
8	1.0000	1.0000	0.9998	0.9975	0.9954	0.9725	0.9956

GT	PRO1 LSMEAN	Standard Error	Pr > \|t\|	LSMEAN Number
1	cai	22.4366667	0.2076656	<.0001	1
1	duc	22.3866667	0.2076656	<.0001	2
2	cai	22.6200000	0.2076656	<.0001	3
2	duc	22.6033333	0.2076656	<.0001	4
3	cai	22.3866667	0.2076656	<.0001	5
3	duc	22.5400000	0.2076656	<.0001	6
4	cai	22.4933333	0.2076656	<.0001	7
4	duc	22.0433333	0.2076656	<.0001	8

Least Squares Means for effect LO*GT Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: PRO1

i/j	1	2	3	4	5	6	7	8
1		1.0000	0.9979	0.9989	1.0000	1.0000	1.0000	0.8707
2	1.0000		0.9910	0.9942	1.0000	0.9993	0.9999	0.9297
3	0.9979	0.9910		1.0000	0.9910	1.0000	0.9998	0.5319
4	0.9989	0.9942	1.0000		0.9942	1.0000	0.9999	0.5653
5	1.0000	1.0000	0.9910	0.9942		0.9993	0.9999	0.9297
6	1.0000	0.9993	1.0000	1.0000	0.9993		1.0000	0.6926
7	1.0000	0.9999	0.9998	0.9999	0.9999	1.0000		0.7804
8	0.8707	0.9297	0.5319	0.5653	0.9297	0.6926	0.7804

GT	ASH1 LSMEAN	Standard Error	Pr > \|t\|	LSMEAN Number
1	cai	1.32333333	0.06385748	<.0001	1
1	duc	1.34333333	0.06385748	<.0001	2
2	cai	1.39333333	0.06385748	<.0001	3
2	duc	1.47000000	0.06385748	<.0001	4
3	cai	1.48000000	0.06385748	<.0001	5
3	duc	1.50666667	0.06385748	<.0001	6
4	cai	1.31000000	0.06385748	<.0001	7
4	duc	1.30666667	0.06385748	<.0001	8

Least Squares Means for effect LO*GT Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: ASH1

i/j	1	2	3	4	5	6	7	8
1		1.0000	0.9922	0.7308	0.6672	0.4934	1.0000	1.0000
2	1.0000		0.9990	0.8435	0.7902	0.6236	0.9999	0.9999
3	0.9922	0.9990		0.9869	0.9741	0.9025	0.9791	0.9741
4	0.7308	0.8435	0.9869		1.0000	0.9999	0.6455	0.6236
5	0.6672	0.7902	0.9741	1.0000		1.0000	0.5798	0.5579
6	0.4934	0.6236	0.9025	0.9999	1.0000		0.4119	0.3927
7	1.0000	0.9999	0.9791	0.6455	0.5798	0.4119		1.0000
8	1.0000	0.9999	0.9741	0.6236	0.5579	0.3927	1.0000

GT	Lipit1 LSMEAN	Standard Error	Pr > \|t\|	LSMEAN Number
1	cai	1.51000000	0.18920521	<.0001	1
1	duc	1.29000000	0.18920521	<.0001	2
2	cai	1.49000000	0.18920521	<.0001	3
2	duc	1.68000000	0.18920521	<.0001	4
3	cai	1.84666667	0.18920521	<.0001	5
3	duc	1.65333333	0.18920521	<.0001	6
4	cai	1.59000000	0.18920521	<.0001	7
4	duc	1.52000000	0.18920521	<.0001	8

Least Squares Means for effect LO*GT Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: Lipit1

i/j	1	2	3	4	5	6	7	8
1		0.9890	1.0000	0.9977	0.9014	0.9992	1.0000	1.0000
2	0.9890		0.9937	0.8180	0.4649	0.8630	0.9425	0.9859
3	1.0000	0.9937		0.9954	0.8732	0.9982	0.9999	1.0000
4	0.9977	0.8180	0.9954		0.9979	1.0000	1.0000	0.9984
5	0.9014	0.4649	0.8732	0.9979		0.9949	0.9742	0.9140
6	0.9992	0.8630	0.9982	1.0000	0.9949		1.0000	0.9995
7	1.0000	0.9425	0.9999	1.0000	0.9742	1.0000		1.0000
8	1.0000	0.9859	1.0000	0.9984	0.9140	0.9995	1.0000